The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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محتوای ارائه شده توسط Charles M Wood. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Charles M Wood یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
مشابه Adventures in Machine Learning
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Stay current on JavaScript, Node, and Front-End development. Learn from experts in programming, careers, and technology every week. Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
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A podcast about web design and development.
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The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
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Exploring React Native Together
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Good Moms Bad Choices
1 5 Ways To Rethink Dating 1:36:55
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دوست داشته شدWhat’s up, Tribe, and welcome back to Good Moms Bad Choices! January was amazing, but its time to turn the page on the calendar and embrace beautiful new energy as we enter ‘The Journey of Love February.’ This month is all about the heart - join Erica and Milah to catch up and discuss what’s new in the world of motherhood, marriage, and amor! In this week’s episode, the ladies offer witty and sharp perspectives about personal growth in love, supporting your kids through their friend drama, and how to honor your true needs in a partnership. Mama Bear to the Rescue! The Good Moms discuss protective parenting and helping your kids fight their battles (8:00) Bad Choice of the Week: Help! My kids saw me in my lingerie! (20:00) My Happily Ever After: Erica and Milah discuss the prospect of marriage, dreams of becoming a housewife, and the top 5 ways to be confident in love (32:00) Yoni Mapping: Releasing Trauma and Increasing Pleasure (57:00) Its OK to fuck up, but also, what do you (really) bring to the table: The Good Moms have an honest discussion about finding accountability and growth before love (1:03:00) Watch This episode & more on YouTube! Catch up with us over at Patreon and get all our Full visual episodes, bonus content & early episode releases. Join our private Facebook group! Let us help you! Submit your advice questions, anonymous secrets or vent about motherhood anonymously! Submit your questions Connect With Us: @GoodMoms_BadChoices @TheGoodVibeRetreat @Good.GoodMedia @WatchErica @Milah_Mapp Official GMBC Music: So good feat Renee, Trip and http://www.anthemmusicenterprises.com Join us this summer in paradise at the Good Vibe Rest+Vibe Retreat in Costa Rica July 31- August 5 August 8 - August 13 See omnystudio.com/listener for privacy information.…
Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176
Manage episode 453619938 series 2977446
محتوای ارائه شده توسط Charles M Wood. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Charles M Wood یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant cost savings and unintended business growth. Barzan sheds light on leveraging existing cloud technologies and the role of automated tools in enhancing system interactions, while Ben talks about the intricacies of platform migration and tech debt.
They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data.
So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in!
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Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data.
So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in!
Socials
- LinkedIn: Barzan Mozafari
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
209 قسمت
اشتراک گذاریManage episode 453619938 series 2977446
محتوای ارائه شده توسط Charles M Wood. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Charles M Wood یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant cost savings and unintended business growth. Barzan sheds light on leveraging existing cloud technologies and the role of automated tools in enhancing system interactions, while Ben talks about the intricacies of platform migration and tech debt.
They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data.
So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in!
Socials
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
…
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They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data.
So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in!
Socials
- LinkedIn: Barzan Mozafari
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
209 قسمت
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In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just about the product, but about the experience. We talk about how we've shifted our focus from performance-only metrics to a more holistic approach, blending creativity with strategy. There's a big emphasis on human-first marketing—building trust, showing up consistently, and leading with values that resonate. We also reflect on the role of content creators and influencers in today’s market, and how brands can partner more meaningfully instead of just transacting for reach. It’s about collaboration, not commodification. Key takeaways: Authenticity wins. Audiences can tell when it’s forced. Content isn't king—connection is. Brand loyalty is built through trust, not just a strong call to action. It’s time to ditch the funnel mindset and embrace more circular, relationship-driven marketing. Data is powerful, but gut instinct and creativity still matter—a lot. Whether you’re a marketer, entrepreneur, or creator, there’s something in here for you. Let’s keep pushing the industry forward—together. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
1 Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184 51:26
Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphasis on a hot dog recipe search engine. The discussion takes you through the entire development loop, beginning with understanding product requirements and success criteria, moving through prototyping and tool selection, and culminating in team collaboration and stakeholder engagement. Michael and Ben share their insights on optimizing for quick signal in design, leveraging existing tools, and ensuring service stability. If you're eager to learn about effective development strategies in machine learning projects, this episode is packed with valuable lessons and behind-the-scenes engineering perspectives. Join us as we navigate the challenges and triumphs of building impactful search solutions. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the intriguing paradoxes of data science, discussing how these paradoxes can impact the accuracy of machine learning models and providing insights on how to mitigate them. Pierpaolo shares his expertise on causal reasoning in machine learning, drawing from his master's research and contributions to Towards Data Science and other notable publications. He elaborates on the complexities of data modeling during the early stages of the COVID-19 pandemic, highlighting the use of simulation and synthetic data to address data sparsity. Throughout the conversation, the focus remains on the importance of understanding the underlying system being modeled, the role of feature engineering, and strategies for avoiding common pitfalls in data science. Whether you are a seasoned data scientist or just starting out, this episode offers valuable perspectives on enhancing the reliability and interpretability of your machine learning models. Tune in for a deep dive into the paradoxes of data science, practical advice on feature interaction, and the importance of accurate data representation in achieving meaningful insights. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days. In This Episode Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?) The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask) Not sure if you need machine learning or just plain data modeling? Michael lays it out for you What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup. Links How to Find Weaknesses in your Machine Learning Models LinkedIn: Michael Berk Michael Berk - Medium Picks Ben- David Thorne Books Charles- Shadow Hunter Michael- Stuart Russell Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry still in its early stages, I recommend waiting for managed solutions to mature, while Ben suggests the educational value of simple project builds. They discuss the importance of understanding the technology thoroughly before diving into business-focused decisions, using tools like customer user journeys (CUJs) to evaluate scalability, cost-efficiency, and maintainability. They also highlight some initial challenges and missteps in project management and the necessity for pre-evaluation by tech teams. For non-technical teams engaged in technical projects, they provide structured guidance on navigating these unknowns efficiently. Additionally, they emphasize the value of research spikes and incremental development to manage risk and learn from user behavior. Finally, they explore the promising yet evolving landscape of generative AI and its potential high ROI with Retrieval-Augmented Generation (RAG). Socials Linkedin: Ben Wilson LinkedIn: Michael Berk Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you. Links fourTheorem Twitter: Eóin Shanaghy Twitter: Peter Elger Picks Charles- The Eye of the World: Book One of The Wheel of Time by Robert Jordan Charles - Changemakers With Jamie Atkinson Charles- Podcast Domination Show by Luis Diaz Charles- Buzzcast Charles- Podcast Talent Coach Eóin- IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 " Eóin- Kinesis | Freestyle2 Split- Adjustable Keyboard for PC Peter- The Wolfram Physics Project Peter- PBS Space Time Peter- Youtube Channel | 3Blue1Brown Peter- Cracking the Code Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
1 Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178 1:12:04
1:12:04 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:04
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies to combat burnout, including collaborating with others, mentoring, shifting focus between tasks, and hiring more people to distribute the workload. A key takeaway is the importance of knowledge sharing and not hoarding tasks for job security, as this can lead to burnout and inefficiency. They also discuss managing burnout and its components, particularly exhaustion, cynicism, and inefficiency, through personal experiences. Finally, they talk about how burnout can lead to inefficiency and physical manifestations, like a lack of motivation to engage in activities outside of work. Socials LinkedIn: Ben Wilson LinkedIn: Michael Berk Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes. Links Kaggle: Your Machine Learning and Data Science Community Rishal Hurbans Inktober Book giveaway link Picks Chuck- Hero with a thousand faces by Joseph Campbell Chuck- Masterbuilt smoker Rishal-Learn something new everyday Rishal- Building a StoryBrand by Donald Miller Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
1 Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176 55:43
In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant cost savings and unintended business growth. Barzan sheds light on leveraging existing cloud technologies and the role of automated tools in enhancing system interactions, while Ben talks about the intricacies of platform migration and tech debt. They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data. So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in! Socials LinkedIn: Barzan Mozafari Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in notebooks, creating secure environments for code execution, and the pros and cons of various isolation methods like VMs, containers, and micro VMs. They explore the challenges of evaluating and executing generated code, highlighting the risks of running arbitrary Python code and the importance of secure evaluation processes. Ben shares his experiences and best practices, emphasizing human evaluation and secure virtual environments to mitigate risks. The episode also includes an in-depth discussion on developing new projects with a focus on proper engineering procedures, and the sophisticated efforts behind Databricks' Genie service and MLflow's RunLLM. Finally, Ben and Michael explore the potential of fine-tuning machine learning models, creating high-quality datasets, and the complexities of managing code execution with AI. Tune in for all this and more as we navigate the secure pathways to responsible and effective machine learning development. Socials LinkedIn: Michael Berk LinkedIn: Ben Wilson Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with Brian Vallelunga, the visionary CEO of Doppler. Brian shares his compelling journey from early tech innovations to leading multiple startups and eventually founding Doppler, a centralized cloud secret management tool. Brian emphasizes the importance of making security tools enticing for developers, comparing it to making vegetables taste like candy, to boost productivity. His team’s strategy revolves around seamless integration into developers’ workflows, featuring a VS Code extension and automatic syncing akin to Dropbox, enhancing efficiency and ease of use. They explore Doppler's competitive edge and how it partners with major cloud resource managers, making two-click integrations effortless. Brian also discusses their customer-centric development approach and the release of enterprise features like two-person approval and config inheritance, designed for complex organizational needs. Brian's entrepreneurial journey is marked by significant pivots driven by frustration and market demand, rather than strategic planning alone. He shares candid thoughts on the impact of founders and success, cautioning against the allure of celebrity status and emphasizing team contributions. Join them as they dive into insightful discussions on building developer-friendly security tools, the nuances of secret management, and Brian's perspectives on startup growth and innovation. Discover how Doppler is revolutionizing secret management, one integration at a time. Socials LinkedIn: Brian Vallelunga Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
1 Peer Review and Career Development - ML 173 1:08:09
1:08:09 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:09
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a math-heavy computer science program in college. He pivoted to environmental studies, focusing on side projects and extracurriculars. These projects led to his first job, and later to a role at a boxing streaming service (2B) with a rigorous peer review process. Ben asks about the importance of the peer review process, and Michael highlights its value in catching errors and ensuring code quality, especially when working under pressure. Moreover, Ben discusses the learning experience at different career stages, noting that junior developers learn from senior developers' code and feedback. Ben discusses the differences in peer review for different types of code changes. They discuss the importance of thorough review for critical code changes and many more! Socials LinkedIn: Ben Wilson LinkedIn: Michael Berk Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
1 Navigating Expertise Gaps - ML 172 1:16:15
1:16:15 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:16:15
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, considering approaches for consultants or team members. They discuss various personality types encountered in such situations, including those overly suspicious or resistant to change. Moreover, they discuss how to convince a boss that a proposed project is a bad idea, suggesting a structured approach with clear estimates, risk assessment, and alternative solutions. They emphasize the importance of honesty, transparency, and presenting options with clear pros and cons. The discussion then returns to the Gen AI time-series case study, suggesting a presentation of multiple options, including established algorithms and the Gen AI approach, to facilitate a data-driven decision. Finally, the episode addresses the scenario of a teammate being untrained about a system they built, suggesting a combination of direct but constructive feedback and a collaborative approach to identify the root cause of the issue. Socials LinkedIn Ben Wilson LinkedIn Michael Berk Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
1 The Influence of Gen AI on Personalized Education and Curiosity - ML 171 1:08:19
1:08:19 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:19
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer. Michael, a data engineering and machine learning expert, and Ben, an integrator of Gen AI tools, navigate through Danny's unique perspective on the impact of nurturing educational environments. Currently working at Cornell’s Studio entrepreneurship program, Danny brings a multidisciplinary background, combining history and instructional technology, and shares his vision for the future of learning. This episode explores the transformative power of nurture in education, the evolving role of Gen AI in fostering curiosity, and the challenges and opportunities in integrating AI into the learning process. Danny provides thought-provoking insights on emotional access points, curiosity-driven learning, and the delicate balance between educational goals and productivity tools. Listen in as they discuss personalized education, the promise of AI-assisted learning, and the future trajectory of superintelligence in education. Plus, hear personal anecdotes from Ben and Michael about their own learning journeys and the evolving landscape of curiosity and knowledge. Socials LinkedIn: Daniel Hiterer Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Role of Open Source in Modern Development Practices - ML 170 1:02:12
1:02:12 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:12
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday, they dive deep into the fascinating intersection of open-source development and machine learning. Michael and Ben are joined by distinguished guest, Görkem Erkan, CTO and seasoned engineer at Jozu. Görkem shares his illustrious career journey from Nokia to Red Hat, his contributions to the Eclipse Foundation, and his current focus on MLOps. They explore his passion for open-source projects, the cultural and communication impacts on software design, and the unique challenges posed by integrating open-source frameworks with proprietary systems. Ben provides critical insights on the complexities of managing scalable backend services and the hurdles in translating SaaS offerings to open-source platforms. Tune in to learn about the innovative practices at Jozu, the role of open communication in team success, and the nuanced debate on maintaining separate proprietary and open-source codebases. This episode is packed with valuable lessons for developers, tech leaders, and anyone interested in the future of machine learning and open-source development. Socials LinkedIn: Görkem Ercan Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to accelerate team efficiency through powerful AI tools—imagine an Iron Man suit for your daily tasks. From proactive AI assisting with time-consuming tasks to ethical considerations in data privacy, this episode covers the cutting-edge developments and challenges in AI implementation. They also discuss the evolving landscape of workplace automation, the intricacies of data collection, and the balance between privacy and productivity. They also highlight Sembly's latest advancements like Semblian 2.0 , a breakthrough in digital twin technology that promises to redefine meeting productivity. Join them for an in-depth conversation on AI's transformative potential, the ethical responsibilities it entails, and the practical impacts on the project. Links Semblian 2.0 Socials LinkedIn: Artem Koren Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Impact of Generative AI on the Advertising Industry - ML 168 1:01:32
1:01:32 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:32
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to working with customers on brand strategy and content. They also talk about the increasing importance of brands in a digital, AI-driven world. Additionally, they tackle Hikari's perspective on how generative AI will impact the advertising industry. Tune in on how ML is Reshaping The Advertising Industry. Socials LinkedIn: Hikari Senju Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167 1:06:39
1:06:39 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:06:39
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of independent problem-solving before receiving effective guidance. As we explore their experiences with Ben, they uncover the vital importance of openness to feedback and the profound value of peer review in refining solutions. They delve into technical aspects, including Python's Pytest framework for unit tests and the delicate balance between complexity and simplicity in testing for maintainability and readability. Additionally, they touch on Michael's hands-on learning curve, tackling unfamiliar concepts such as RAG, embeddings, LLMs, and Git development, all while managing significant time constraints and social commitments. Moreover, Ben shares his mentorship philosophy, likening it to military training—pushing mentees to their limits without prior warning to foster resilience and self-improvement. They also discuss the importance of documentation, bug bashes, and the fine art of balancing integration and unit tests to ensure robust and thorough software. Join them as they explore the journey from initial struggle to increased autonomy and confidence, using real-world examples of testing gaps, code complexities, and the powerful impact of daily feedback. Whether you're a seasoned developer or just starting your tech career, this episode is packed with valuable insights to enhance your learning and development process. So, stay tuned and dive right in! Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Evaluating and Building AI Systems - ML 166 1:03:57
1:03:57 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:57
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدMichael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was driven by a quest for excitement and new challenges. In this episode, he shares how he transitioned into the AI field, his passion for using writing as a learning tool, and the importance of continuous learning in evolving tech landscapes. They explore the intricacies of building and evaluating Retrieval-Augmented Generation (RAG) systems, the benefits of MongoDB's versatile database functionalities, and the pressing challenges in machine learning data collection and evaluation. Richmond also gives us a peek into MongoDB's advanced solutions for AI application development and how strategic data chunking can impact efficiency. Whether you're a budding AI enthusiast or an experienced developer looking to expand your horizons, this episode is packed with practical advice, career insights, and the latest trends in AI and machine learning. Stay tuned as we uncover how to navigate the complexity of RAG pipelines and the evolving landscape of generative AI. Let's get started! Socials LinkedIn: Richmond Alake Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Demystifying AI Innovations - ML 165 1:07:25
1:07:25 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:25
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of experience from Databricks. In this episode, Ben shares his journey navigating the intricacies of deep learning and the surprising effectiveness of simpler solutions over complex algorithms. Abi lends her insights to the balancing act between innovation and practicality in tech adoption, influenced by career stability and venture capital demands. They also explore Abi's passion for recommender systems and audio speech synthesis, and the potential these fields hold for e-commerce and inclusivity. Abi also gives us a glimpse into her research methodology, her approach to autonomous agents, and the challenges she faced with bias and imposter syndrome. As they dissect consulting strategies, experiment design, and the art of fostering a collaborative environment, this episode is packed with valuable lessons for any tech enthusiast. So, get ready to tune in, take notes, and be inspired by the fascinating stories and insights from our expert guest and hosts. Socials Abi Aryan LinkedIn: Abi Aryan Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164 59:52
Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In this episode, they explore a range of intriguing topics, from the impact of the broken windows theory on code quality to the delicate balance of maintaining backward compatibility in evolving software projects. Sandy talks about the challenges and learnings in transitioning from data science back to software engineering, including dependency management and designing for diverse use cases. They touch on the importance of clear naming conventions, tooling, and infrastructure enforcement to maintain high code quality. Plus, they discuss the intricate process of selecting and managing Python libraries, the satisfaction of refactoring old code, and the necessity of balancing new feature development with stability. Michael and Ben will guide us through these essential discussions, emphasizing the significance of user-centric API design and the benefits of open source software. They also get practical advice on navigating API changes and managing dependencies effectively, with real-world examples from Dagster, Spark Time Series, and the libraries Numba and Pydantic. Join them for an episode packed with valuable insights and strategies for becoming a top-end developer! Don’t forget to follow Sandy on Twitter and check out Dagster.io for more information on his work. Socials LinkedIn: Sandy Ryza Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Building, Testing, and Abandoning Software - ML 163 1:05:15
1:05:15 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:15
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools versus leveraging open-source solutions, with real-world examples from Databricks. They discuss the creation and eventual abandonment of a benchmarking tool for warehouses and discuss the importance of evaluating user demand, effort, and impact before committing to development. They emphasize the role of empathy, constructive feedback, and team collaboration in driving successful projects. They share strategies to influence behavior within organizations, the significance of a blame-free culture, and the art of leading difficult conversations with stakeholders. From detailed discussions on customer feedback loops to practical advice on automating mundane tasks, this episode is packed with insights that will help you navigate the complex landscape of software development. So sit back, relax, and join us for a thoughtful and engaging conversation on how to turn challenges into opportunities for growth and innovation. Socials LinkedIn: Michael berk LinkedIn: Benjamin Wilson Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162 1:03:27
1:03:27 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:27
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructional design, content development, and assessments, shedding light on the evolving educational landscape and the pivotal role of evaluation and learning. Ben shares invaluable insights on leveraging chat GPT and generative AI to streamline documentation creation and evaluate knowledge, drastically cutting down processing times. Together, Luis and Ben discuss the positive reception and transformative potential of AI-driven micro-courses, text-to-speech features, and customized training tools in education. They also touch on the intense training involved in fields like nuclear reactor operation and the need for effective onboarding processes. Michael contributes by emphasizing empathy and strategic pacing in international business projects, while also summarizing instructional strategies and organizational tips for rapid learning and growth. Join them as they explore the crucial role of innovative AI technologies and personalized learning tools in reshaping education and business training, featuring insights from top industry professionals and thought leaders. And don't miss the chance to learn more about Pete and Collectiva. Get ready for a compelling discussion about enhancing learning outcomes and the future of education with AI! Socials LinkedIn: Luis E. Garcia Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, starting with the innovative use of AI to streamline surveying and sentiment analysis in employee evaluations. They explore the exciting potential of AI models in technical data collection, particularly for interviews, and discuss how these models can assess candidates' sentiment and confidence levels, providing valuable insights into their fit for specific roles. They also hear about the emerging trends discussed at the recent Databricks Data and AI Summit, where generative AI for resume screening took center stage. They debate the challenges and opportunities of leveraging AI to reduce information overload in analytics, particularly within the complex hiring process. They emphasize the importance of explainable AI models, consulting scalability, and the perennial issue of data cleansing in HR. Additionally, the episode touches on the critical aspects of diversity and inclusion in the workplace, the influence of new legislation on workforce diversity modeling, and how companies can configure HR systems to suit their unique needs. They share insights into using advanced tools like XGBoost for predictive modeling, highlight the significance of face-to-face interactions in interview processes, and caution against over-reliance on automated resume screening. Join them as they navigate these thought-provoking discussions and more, shedding light on the intersection of AI, machine learning, and human resources. Socials LinkedIn: Keith Goode Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160 1:06:42
1:06:42 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:06:42
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag. Aaron kicks things off by underlining the cultural facets in hiring, emphasizing the virtues of being good listeners, intellectually curious, kind, and respectful while achieving tangible results. We also explore the collaborative spirit in group product planning and the pivotal role of diverse perspectives. From there, Ben takes us into the fascinating—and somewhat unnerving—advancements in deep fakes, particularly in image generation, and their implications for security and entertainment. This discussion also touches on the complexities of preventing deep fake attacks and the critical role of technology in mitigating these threats. Michael weighs in on how physical devices and user verification limit fraudulent deep fake activities, while Aaron offers invaluable advice on latching onto growing fields like AI for future-proofing your career. We also delve into a riveting recount of Ben’s early data science days, offering a glimpse into the tech evolution from Hadoop to cloud computing. Our conversation spans intriguing analogies, from the oil industry to AI, and examines the crucial shift toward cloud technologies, underpinned by end-use cases and consumer demands. We discuss the pressing need for secure identity verification in the digital age, exploring multifactor authentication and the delicate balance between security and user experience. Additionally, the episode covers Microsoft’s impact on global economies, with Aaron sharing heartfelt insights from his illustrious career. Join them as they navigate these compelling topics and more, offering a wealth of knowledge for developers, tech enthusiasts, and anyone keen on the future of technology. Tune in and prepare to elevate your understanding as we unfold the latest in machine learning, AI, and technological innovation. Socials LinkedIn: Aaron Painter Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat, AWS, and Jozu. Brad shares his journey of founding Jozu, an MLOps company that stands out with its commitment to open standards such as the OCI standard for packaging AI projects. Alongside Jozu, they explore KitOps, an innovative open-source project that simplifies version control and collaboration for AI teams. Join them as they discuss the challenges in integrating AI models into production, the importance of monitoring API usage, and the critical role of automated rollback systems in maintaining operational excellence. They also touch on the cultural differences in operational approaches between giants like AWS and Red Hat and hear first-hand experiences on the significance of transparency, trust, and efficient risk management in both startups and established companies. Whether you're a DevOps professional, MLOps practitioner, or data scientist transitioning to production, this episode is packed with valuable insights and practical advice to help you navigate the complexities of AI project management. Tune in to discover how Brad and his team are tackling these challenges head-on and learn how to set up your projects for success from the ground up! Socials LinkedIn: Brad Micklea Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to pioneering perception ML for drone-based aerial intelligence. They explore the paradigm shift from object-oriented to functional programming, the crucial role of software architecture, and the challenges of maintaining consistent design and documentation in growing teams. They also get insights into Databricks' approach to user-friendly API design and the importance of learning management systems in knowledge distillation. Listen in as our speakers discuss the strategic decisions in scaling products, the nuances of open-source contributions, and the value of automation in modern development. Whether you're navigating a startup or a large enterprise, this episode is packed with expert advice on building robust, scalable systems and the dynamic decision-making needed to thrive in today's tech environment. Tune in and elevate your development game! Socials LinkedIn: Kirk Marple Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasize reducing the cost and time of AI development by leveraging open-source models, while Alex draws parallels between the AI industry and flat-screen TVs, advocating for AI as a public good. The conversation traverses through the importance of compelling AI services, revenue-generating strategies, and the disruption AI brings—both in job creation and efficiency improvement. From personal anecdotes in semiconductor fabs to the pitfalls of the YC funding model, we explore various facets of success in the tech world. Alex brings a unique perspective from his background in psychology and entrepreneurship, touching on the importance of market timing, embracing uncertainty, and the significant role of mentorship. Whether you're a startup enthusiast or a seasoned tech veteran, this episode will provide invaluable insights on navigating the complexities of AI development, operational challenges for founders, and the essential balance between innovation and business strategy. So tune in, and let's get started on this journey through the cutting edge of technology with our insightful guests on Top End Devs! Socials LinkedIn: Alex Levin alexrlevin.com Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Intersection of Success and Talent Retention in Software Development - ML 156 1:00:21
1:00:21 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:21
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and group learning curves, the value of collaboration, and the indispensable role of peer review in creating robust solutions. They'll also touch upon the nuanced perspectives of working at top tech companies like Google and Databricks, examining how timing and project involvement can shape a developer's skillset and career trajectory. From the importance of understanding one's career goals to the powerful impact of a company's culture on code quality, they aim to uncover the multifaceted aspects of professional growth in tech. Join they as they delve into stories of overengineered solutions, the necessity of constructive feedback, and the collaborative efforts that define truly great products. Whether you're aspiring to join the elite 1% of developers, or simply looking to understand the dynamics of a high-functioning team, this episode is packed with insights and practical advice. So, tune in and let's explore the path to greatness together! Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155 57:43
In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledge of traditional and deep learning models and the value of being candid about one's expertise. They explore how technical skills, particularly in applied machine learning, are evaluated with a focus on their impact on business outcomes. Michael and Ben also address the common misalignments between job descriptions and the actual skills required, stressing the need for problem-solving capabilities and critical thinking over memorized knowledge. Additionally, they delve into the roles within data science—analysts, applied ML specialists, and researchers—highlighting the importance of fitting the right skills to the right job. They also touch on the evolving expectations and frustrations with the current hiring process, offering insights on how it can be improved. Stay tuned as they unpack these topics and more, including valuable tips for showcasing your skills effectively on resumes, and the significance of asking insightful questions during interviews. Whether you’re an aspiring data scientist or a seasoned professional, this episode is packed with practical advice and industry insights you won’t want to miss! Socials LinkedIn: Ben Wilson LinkedIn: Michael Berk Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Balancing Theoretical Knowledge with Hands-on Experience - ML 154 1:07:42
1:07:42 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:42
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدMichael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, environmental science, and career transitions. They explore how individuals like Michael transformed their careers from environmental science to AI, leveraging existing expertise in innovative ways. Ben shares insights on leaping from non-technical roles to data science by embracing automation with Python and machine learning. We tackle the critical shift in roles, the balance between education and hands-on experience, and the growing disparity between academia and industry. Brooke brings valuable perspectives on project scoping, from aligning success criteria to ensuring real-world value. The discussion revolves around augmenting existing roles with AI, common pitfalls, and transitioning proofs of concept to production. They also explore the practical applications of language models, the debate over open versus closed source models, and the future of AI in various industries. With a focus on collaboration, the traits of top data scientists, and the implications of integrating AI into non-tech fields, this episode is packed with insights and tips for anyone looking to navigate the exciting world of AI and machine learning. Join them as they delve into these topics and more, discussing the evolving landscape of AI and how it's shaping careers and industries alike. Socials LinkedIn: Brooke Wenig Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153 1:17:50
1:17:50 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:17:50
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدMichael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and cybersecurity. They discuss the evolving tactics of attackers, from specialized targeting to AI-driven data collection. The episode tackles dynamic risk assessment, the arms race between attackers and defenders, and the role of open-source models in security. They explore AI's potential to monitor, defend, and even augment human efforts against security threats, touching on both the opportunities and ethical challenges. They also examine AI's role in protecting against social media scams and phishing attacks, envisioning a future where AI acts as our digital guardian. Whether you're in cybersecurity, development, or simply curious about AI's impact on security, this episode is packed with valuable insights. Stay tuned for a fascinating discussion! Socials LinkedIn: Daniel Miessler Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Journey to Expertise with Fernando Lopez - ML 152 1:05:04
1:05:04 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:04
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدFernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation challenges in open-source projects, and the transition from startup environments to tech giants like Google. They share their candid experiences with impostor syndrome, practical tips for continuous learning, and the nuances of scaling solutions in the dynamic tech landscape. Explore the nuances of software development, the complex interplay of learning strategies, and the realities of navigating large-scale organizations. Join them as the industry experts unravel the intricacies of prototyping, scaling challenges, and the value of hands-on experience in shaping successful tech careers. Get ready to immerse yourself in a wealth of knowledge and thought-provoking insights that underscore the essence of growth and innovation in the tech realm. Socials LinkedIn: Fernando Lopez Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151 1:07:05
1:07:05 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:05
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدDeeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In this episode, they explore the challenges and innovations in deploying models into production, particularly focusing on the real-world implications of ETA (Estimated Time of Arrival) modeling at Lyft. They share valuable insights, from the complexities of A/B testing and long-term impact assessment, to the dynamic nature of handling real-time data and addressing unpredictability in route predictions. Join them as they journey through the world of model deployment, bug identification, and career development within the fast-paced environment of Lyft's data-driven infrastructure. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Deeksha Goyal LinkedIn: Michael Sun Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Impact of AI Tools on Software Development and Quality Assurance - ML 150 1:13:31
1:13:31 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:13:31
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدMatt Van Itallie is the Founder & CEO at Sema. This episode covers a wide range of topics, from the impact of AI and machine learning on software development and educational systems, to the importance of code reviews and career advice in the tech industry. Matt Van Italy shares his diverse experiences in law, consulting, public schools, and the tech sector, emphasizing the value of using data to drive improvements. The conversation also touches on the use of GenAI tools in development and the need for organizations to embrace new technology to stay competitive. They also explore issues such as defense spending, career transitions, and the significance of investing in education and human capital. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Matt Van Itallie Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149 1:06:38
1:06:38 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:06:38
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدTerry Rodriguez is the Co-Founder at Remyx AI. They discuss the challenges and opportunities in deploying and updating AI models for robotics, exploring the potential applications across various industries, and delving into the complexities of conducting experiments and controlling for interaction effects. You'll also hear from industry experts who have worked on recommender algorithms and enhancing content recommendations through experimental workflows and hypothesis testing. Get ready for an insightful and dynamic conversation about the latest developments in the ML landscape! Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Terry Rodriguez Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148 1:16:09
1:16:09 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:16:09
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدLukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and opportunities of open source as a business model, the potential of models for edge computing, and the importance of understanding open-source code. Join us as we delve into the intersection of physics, machine learning, and the intricate world of software development. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Lukas Geiger Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147 1:06:25
1:06:25 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:06:25
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدNick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration. In today's episode, they explore the challenges and intricacies of standardizing data movement, handling data access in various systems, and migrating data across different platforms. They share insights on the importance of building a system that spans multiple data platforms, the decision-making process behind tool development, and the impact of lineage in managing and migrating data. Join them as they uncover the complexities of open-source projects, API evolution, and the future of data engineering. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Nick Schrock Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the research and testing processes, the importance of thorough research, the value of teamwork, and the challenges of transitioning between engineering and science. With analogies, real-world examples, and expert perspectives, they shed light on the intricacies of these roles and the considerations for hiring scientists and engineers based on company size and market effects. Tune in for a thought-provoking discussion on finding the optimal path between efficiency and innovation in the world of technology and research! Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Impact of Process on Successful Tech Companies - ML 145 1:05:41
1:05:41 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:41
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدMichael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projects, and the need for comprehensive documentation and peer reviews. The conversation also delves into the challenges of handling complex code, the significance of prototype research, and the distinction between design decisions and implementation details. Through real-world examples, they illustrate the impact of rushed processes on project outcomes and the responsibility of tech leads in analyzing and deleting unused code. Join them as they explore how process and organizational culture contribute to successful outcomes in tech companies and why companies invest in skilled individuals who can work efficiently within established processes. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate the political landscape, and caution against providing half-baked solutions. They also discuss the significance of understanding project goals, documenting decision-making processes, and providing guidance to the team to avoid building unnecessary and difficult-to-maintain systems. Stay tuned as they share their experiences and valuable advice for navigating complex projects and delivering meaningful solutions. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143 1:01:21
1:01:21 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:21
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدBen and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intricacies of MLOps basics and the challenges of implementing an effective computer vision model for traffic optimization and data collection at ports. From discussing the importance of exploratory data analysis (EDA) and data cleaning for image classification to the intricacies of continuous integration and deployment, this episode provides invaluable insights into the practical application of machine learning in real-world scenarios.Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational hierarchies, and the importance of evidence-based arguments. From the intricacies of software development to the dynamics of leadership, they discuss the challenges and strategies for making informed decisions and seeking truth within organizations. Whether you're a tech lead, director, or aspiring leader, this episode offers valuable perspectives on humility, empathy, and effective communication in the fast-paced world of technology. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141 1:17:18
1:17:18 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:17:18
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدDavis King is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions, software layering, and the critical role of accurate data in machine learning. Join them as they dissect the challenges and importance of creating well-structured software with clear APIs, the intricacies of real-time systems, and the impact of language choice on code complexity and maintenance. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links Dlib.net Socials LinkedIn: Davis King Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140 1:05:20
1:05:20 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:20
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدBen and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organizational culture, they explore the impact of code quality on team dynamics and project success. They emphasize empathy, communication, and the power of a positive vision to drive change. Tune in to gain insights on tackling diverse problems, the role of documentation, and the significance of modularization in codebases. Join them as they navigate the world of development and seek to create a positive work environment where clear, understandable code thrives. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Lyft's ML Infrastructure Journey - ML 139 1:05:12
1:05:12 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:12
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدKonstantin Gizdarski and Jonas Timmermann are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and successes of implementing reinforcement learning, contextual bandits, and advanced AI technologies in a real-world business environment. Learn about the collaborative engineering culture at Lyft, the development of new ML capabilities, and the unique approaches to infrastructure and model deployment. Listen in as industry experts share their insights on accelerating decision-making processes, simplifying tools for end users, and finding innovative solutions to common engineering challenges. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Konstantin Gizdarski LinkedIn: Jonas Timmermann Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
James Lamb is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journey of becoming a maintainer of renowned open-source projects while offering valuable insights into the benefits and motivations behind contributing to the community.Join them as they explore the significance of human review in the PR process, the value of automated feedback, and the importance of maintaining a positive and inclusive environment for contributors in open-source projects. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: James Lamb Twitter: @_jameslamb Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137 1:28:50
1:28:50 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:28:50
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدRichard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of topics. They explore the potential for Westworld-style androids, considerations in the criminal justice system, ethical implications of AI in warfare, and the challenges of understanding uncertainty in real-world data. From advanced language models and genetic algorithms to the impact of AI on everyday life, get ready for a fascinating and insightful conversation that will expand your understanding of the evolving landscape of machine learning. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Beyond Machine Learning - ML 136 1:15:44
1:15:44 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:15:44
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدMichael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and mentorship at Databricks. They delve into the complexities of career progression, the importance of humility and honesty in mentoring relationships, and the value of fostering a collaborative engineering culture. Join us as we explore the pivotal moments and impactful lessons that have shaped Ben's career and influenced their perspective on the ever-evolving tech industry. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135 1:15:36
1:15:36 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:15:36
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدPiotr Skalski is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI technology, exploring the utilization of video, photo, and imagery data in array processing and NLP. They discuss the challenges and opportunities presented by these fields, as well as the impact of AI technology on various industries, including civil engineering and manufacturing. Join us as we explore the fascinating intersection of technology, innovation, and the future of software development. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Piotr Skalsk i Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Complexity Theory - ML 134 1:28:25
1:28:25 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:28:25
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theory and its implications for sentience, how great ideas are formed, whether AGI can be built with silicon-based computers, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Neil Theise Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How To Recession Proof Your Job - BONUS 1:12:25
1:12:25 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:25
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدGet the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "THRIVE" for a GIANT discount Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back? Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers? Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis. Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans. The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants. Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract. Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Data Watchdogs - ML 133 1:00:26
1:00:26 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:26
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power of deep fakes, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Agata Checinska LinkedIn: Katarzyna Batko-Toluc Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Causal Analysis - ML 132 1:02:12
1:02:12 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:12
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Data Visualization and Hugging Face - ML 131 1:07:06
1:07:06 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:06
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering environment, invaluable data visualization techniques, and more! Sponsors Zilliz , who makes a vector database for the enterprise Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Sylvain Lesage Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Confidence as Data Scientist - ML 130 1:01:45
1:01:45 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:45
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore team dynamics, the importance of soft skills, and offer career guidance for budding data scientists. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links Data Science Career Accelerator How to Become a Data Scientist Confident Data Science Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorithms, and cover many other insights! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and maintaining code changes, and the need for programmatic solutions to automate review processes. They explore the journey of building prototypes, tackling uncertainties, and the quest for a more reliable and efficient review process. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 AI that Make You Better - ML 127 1:15:10
1:15:10 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:15:10
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to learn about applying LLMs to personal productivity, how Paul thinks about viral content, new applications for LLMs, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Paul Allen Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Challenges for LLM Implementation - ML 126 1:16:54
1:16:54 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:16:54
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we speak with Anand Das, the CTO and co-founder of bito.ai , an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Anand Das Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Shivek Sachdev Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How AI Impacts Society - ML 124 1:00:53
1:00:53 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:53
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie Mellon, and the current CEO of Conexus. Expect to learn about how AI is impacting the military, general workforce, and our understanding of sentience! Oh, and make sure you use farm animals when explaining technical concepts. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 LLMs on Azure - ML 123 1:14:14
1:14:14 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:14:14
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company. Expect to learn about your next LLM MVP on Azure, the societal impact of AI, the bifurcation of model size, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How to Create Team Utils - ML 122 1:04:16
1:04:16 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:16
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدHave you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're going to have to write tests! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing exciting work, tips for growing documentation, pitching to diverse crowds, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 ML at Netflix and How to Learn Deeply - ML 120 1:03:23
1:03:23 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:23
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Amir Ziai Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize career growth. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Michael Berk LinkedIn: Benjamin Wilson Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials Roman Grebennikov Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and cover some practical tips along the way. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Innovation Cycle of AI - ML 116 1:09:39
1:09:39 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:09:39
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific innovation, the importance of data, and the next wave of AI (spoiler, it's not LLMs). Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Praveen Paritosh Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 All Things Machine Learning - ML 115 1:07:41
1:07:41 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:41
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدHost from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss applying machine learning, deep learning, and algorithm. They also dive into how artificial intelligence changes the future. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Dave Kimura Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Today we speak with Noah Silbert, a former data scientist at Netflix and current data scientist at Tubi. Expect to learn about company size can impact your role and day-to-day work as a data scientist. We also cover Noah's experience moving from being a professor to handling the scale and complexity of the tech industry. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Noah Silbert Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How to Make your Projects Succeed - ML 113 1:04:15
1:04:15 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:15
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn today's episode, we walk through a project that Michael is currently working on. Expect to learn about scoping a project, getting feedback, and ensuring value. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Jason Weimann is a Developer and Instructor. He returns to the show with Chuck to talk about video game creation. He shares his experiences as a developer and dives into his courses wherein he gives beginners and aspiring developers a walk-through of the world of creating games. Links Game development courses & tutorials Programmer Course – game.courses Socials Twitter: @jweimann Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Moving from Dev Notebooks to Production Code - ML 098 1:11:12
1:11:12 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:11:12
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring needed to convert them to production-capable code bases, our conversation dives deep into the generally under-represented bridge tooling of code base conversions. On YouTube Moving from Dev Notebooks to Production Code - ML 098 Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links Is There a Way to Bridge the MLOps Tools Gap? - KDnuggets Lineapy.org Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Let's be honest. We've all copied and pasted code from the internet. There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to understand a code base and some best practices for contribution. Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and selling large-scale project ideas to internal customers, end-users, executives, and the dev team. The discussion also centers around generalizing feature requests to implementations that will work for the masses and how to effectively do prototype releases for incremental agile development for complex projects. Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links GitHub: Corey-Zumar Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How To Recession Proof Your Job - BONUS 1:12:25
1:12:25 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:25
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدGet the Black Friday/Cyber Monday "Focus Blocks Bundle" Deal Coupon Code: "THRIVE" for a GIANT discount Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back? Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers? Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis. Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans. The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants. Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract. Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Do you multitask? If so, you'll want to check out this episode. We'll cover... The difference between good and bad context switching Some personal stories about context switching on projects Practical tips you can leverage to improve your productivity Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Have you ever wondered how to prioritize your ML projects? Today we will talk about... The difference between applied ML and ML frameworks How to effectively scope projects via Heilmeier's Catechism Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Have you ever wondered how to efficiently learn topics? In this episode, we discuss how to conduct a research spike within an ML team setting. Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Have you ever wondered why data science is hard? Well, in this episode we cover some common data science challenges and how the founders of DagsHub are looking to solve them. Sponsors Top End Devs Coaching | Top End Devs Links Dean Pleban Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer... What are tests and why should you use them? What's the difference between unit tests and integration tests? What should you test? How should you write tests in python? (the answer is to use pytest) Sponsors Top End Devs Coaching | Top End Devs Enov8, who provides test data management Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 AGI, Neuron Simulators, and More with Charles Simon - ML 090 1:04:08
1:04:08 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:08
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدCharles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of computer experience in industry including pioneering work in artificial intelligence (AI). Mr. Simon's technical experience includes the creation of two unique AI systems along with software for successful neurological test equipment combining AI development with biomedical nerve signal testing that gives him the singular insight. Today on the show, Charles, Michael, and Ben explore the riveting future of AGI and other illuminating technology concepts. This is an exciting episode you won’t want to miss! In this episode… Charles Simon’s extensive background Classical algorithms vs manual design Knowledge and power generated in our brains AI and ML concepts and learning patterns Graph based approaches and deep learning “Terminator” and AGI Future AI and open source simulator Leveraging technology to solve problems Sponsors Top End Devs Coaching | Top End Devs Links The Team LinkedIn: Charles Simon Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring. Michael and Ben also deep dive into various related ML models and AI topics. In this episode… Core software engineering skills Practice data algorithms and structures Working towards production-grade ML Data engineering and data structures Using state-of-the-art models Applying labels to data The AI revolution Eliminating bias and unweighted data set Unconscious and conscious exercises Complex models with structure Sponsors Top End Devs Coaching | Top End Devs Links How to Package and Distribute Machine Learning Models with MLFlow - KDnuggets Twitter: @ferneutronn Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models. In this episode… Understanding use case ML flow models and events KPI forecasts Metadata outputs Prediction intervals for hotdog data Automated time series forecasts Libraries required for optimization Practical tips managing the data and Setting up the data for consumption Managing black swan events Sponsors Top End Devs Coaching | Top End Devs Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows. In this episode… Ben’s time series model for sales forecasting The flat line model Examples using time series models Understanding your data Lag functions and moving averages Signal processing in models Manually adding change points Deep learning in time series models Sponsors Top End Devs Coaching | Top End Devs Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text. Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI. The panel also discusses various strategies related to learning and soft skills needed for success within the industry. In this episode… Optical character recognition (OCR) defined Multiprocessing vs. multithreading I/O bound tasks vs. CPU tasks How to handle a retry in Python Strategies for employing on small hardware Template matching and preprocessing Gray scaling integrations How to learn and get started within the industry Reducing the scope and industry soft skills Sponsors Top End Devs Coaching | Top End Devs Links LinkedIn: Ahmad Anis Twitter: @AhmadMustafaAn1 Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her perspective on various topics, including data quality, AI innovation strategies, responsible AI, model intelligence, and much more! In this episode… The importance of innovation Glorified failure projects Responsible AI Data driven companies and quality scores Tools for autogenerated business insights Model intelligence Unspoken assumptions Understanding the larger picture Sponsors Top End Devs Coaching | Top End Devs Links Benefits Of Becoming A Data-First Enterprise - KDnuggets Top 3 Challenges for Data & Analytics Leaders - KDnuggets Democratizing Data in Large Enterprises LinkedIn: Vidhi Chugh Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How to Think Like a Principal Architect - ML 112 1:03:29
1:03:29 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:29
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday, we do a deep dive into Ben's background. We cover his career trajectory and, more importantly, how nature and nurture have impacted the way he thinks. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Are you dissatisfied with your job? Sam Feeney helps organizations improve employee engagement, increase retention, and reinvent hiring while helping individuals (re)discover career satisfaction in their current roles. He joins the show alongside Chuck Wood to tackle altering the way you perceive your job and talk about Career satisfaction. On YouTube How Do You Stop Hating Your Job? - BONUS Socials LinkedIn: Sam Feeney Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles that are most attainable based on a strong software engineering skill set. We also cover some tangible strategies you can leverage to make the transition. On YouTube How to Transition from Software Engineer to ML Engineer - ML 111 Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Machine Learning for Meeting Notes - ML 110 1:04:13
1:04:13 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:13
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup. On YouTube Machine Learning for Meeting Notes - ML 110 Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Artem Koren Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of successful software engineers, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Social LinkedIn: Ankit Mathur LinkedIn: Sue Ann Hong Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Where ML and DevOps Meet - ML 108 1:05:13
1:05:13 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:13
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدHosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the concepts and differences between ML and DevOps. Additionally, they talk about how ML ideas may be applied to DevOps principles and vice versa. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model actually works. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links LinkedIn: Ruslan Khamidullin Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
"Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about... The difference between AI and ML General Artificial Intelligence Some personal opinions about the overlap between "the divine" and AI Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Deep Learning for Tabular and Time Series Data - ML 104 1:08:34
1:08:34 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:34
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book on time series forecasting with deep learning. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links [2207.08548] GATE: Gated Additive Tree Ensemble for Tabular Classification and Regression Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning LinkedIn: Manu Joseph Twitter: @manujosephv GitHub: manujosephv Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in both an IDE and notebook environment. We'll also learn about a cool new Databricks feature that will help you run ML code from an IDE. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links Databricks extension for Visual Studio Code | Databricks on AWS LinkedIn: Fabian Jakobs LinkedIn: Databricks Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt's new open-source optimizer, and how to run an engineering team. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links Michael McCourt | SigOpt LinkedIn: Michael McCourt Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much more! Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links LinkedIn: Kevin Dominik Korte Twitter: @KeDKorte Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 The Disruptive Power of Artificial Intelligence - ML 100 1:00:51
1:00:51 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:51
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدHave you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about... The most promising AI industries Potential problems with powerful AI The economics behind innovation On YouTube The Disruptive Power of Artificial Intelligence - ML 100 Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links Power and Prediction: The Disruptive Economics of Artificial Intelligence Avi Goldfarb LinkedIn: Avi Goldfarb Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099 1:12:17
1:12:17 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:17
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work as it has changed over the past few decades, and discuss a few stories about the importance of pursuing simplicity in implementations. On YouTube A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099 Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links 7 Things You Didn’t Know You Could do with a Low Code Tool LinkedIn: Rosaria Silipo Twitter: @DMR_Rosaria Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for deep neural networks on constrained devices. In this episode… From academics to machine learning Machine learning on mobile devices Cloud computing Applying AI to computer graphics Being multi-disciplinary User experience and latency Model complexity issues Sponsors Top End Devs Coaching | Top End Devs Links Deep Video Inpainting. Removing unwanted objects from videos… | by Aliaksei Mikhailiuk | Towards Data Science On the edge — deploying deep learning applications on mobile | by Aliaksei Mikhailiuk | Jul, 2022 | Towards Data Science Seven Questions to Ask before Introducing AI into Your Project | by Aliaksei Mikhailiuk | Towards Data Science Aliaksei Mikhailiuk Aliaksei Mikhailiuk – Medium LinkedIn: Aliaksei Mikhailiuk Twitter: @mikhailiuka Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents. Today on the show, Michael interviews Adam to share his various strategies and approaches on how to become a data scientist or make advanced changes in the data science career path. In this episode… The “distributed portfolio approach” vs. professional portfolio Leveraging each platforms strengths Creating a personal brand Find others to network and connect with Create a Rosetta stone in your programming language Pandas-profiling to contribute to the community Working with a career coach Asking the right interview questions Sponsors Top End Devs Coaching | Top End Devs Links Data Science Projects Accepting Community Contributions | by Adam Ross Nelson | May, 2022 | Towards Data Science Adam Ross Nelson LinkedIn: Adam Ross Nelson Twitter: @AdamRossNelson Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering. In this episode… Writing tests and type annotations Project development lifecycle Grading programmers with pass / fail Soft skills within the industry Bioinformatics and computer science Prototyping and improving efficiencies Connect with Ken Youens-Clark via email and LinkedIn Sponsors Top End Devs Coaching | Top End Devs Links Mastering Python for Bioinformatics Command-Line Rust GitHub - kyclark/command-line-rust LinkedIn: Ken Youens-Clark GitHub: kyclark Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Data excellence is the foundation of better AI. Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale. Enjoy this engaging conversation about building AI responsibly on a foundation of good data. In this episode… What is cautious AI and trustworthy AI? Defining clean data vs. diverse data Image classification How was Kili founded? How does the labeler and model work together? Algorithms and model structures Scaling with large data sets Sponsors Top End Devs Coaching | Top End Devs Links Kili Technology Blog posts LinkedIn: Edouard d'Archimbaud Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering. Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers. Specific topics include taking ownership of your work, being comfortable making mistakes, and how to stretch yourself every day. In this episode… Taking ownership Being comfortable taking risks and making mistakes From back end to front end development Self taught and self paced Dunning-Kruger effect Continually growing and learning Sponsors Top End Devs Coaching | Top End Devs Links The Most Important Thing I Did to Become a Senior Developer Jesse Langford LinkedIn: Jesse Langford Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes. Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the ideal model architecture is referred to as hyperparameter tuning. Today on the show, Ben and Michael discuss hyperparameter tuning and how to implement this into your ML modeling. In this episode… Why do we tune? Optimizing the models Hyperparameter tuning Steps for tuning Data splits Linear based models How do you know when you know enough? Basic rules of thumb Buffer in time for spikes Grid searching and automation Sponsors Top End Devs Coaching | Top End Devs Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering. In this episode… Why should people trust you? What will you lose by hearing about other people’s failures vs. personally failing to learn? How do you view the current industry? Do you think data scientists and ML engineers are overpaid? What are 3 things important to ROI? How do you set the tone for culture? Sponsors Top End Devs Coaching | Top End Devs Links Machine Learning Engineering in Action Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics. As an active contributor on Medium.com, Maciej has already made significant contributions to the AI and ML communities. On the show, they discuss Maciej’s recent article about optimizers in Machine Learning, plus their personal philosophies and approaches to deep learning. Sponsors Top End Devs Coaching | Top End Devs Links Maciej Balawejder - Medium Optimizers in Machine Learning Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression with OLS, decision trees, and common visualization tools for data scientists. In this episode... Linear regression with OLS Accuracy metrics Decision trees Shapley values Common visualization tools Sponsors Top End Devs Coaching | Top End Devs Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Today on the show, Ben and Michael discuss how to use EDA in machine learning models. In this episode... What is EDA? Tips and Tricks and steps for EDA How to approach downsampling Understanding feature sets relative to your labels Optimizing models Motivating yourself to get into the data Tools for EDA A few scenarios for discussion What is the most detrimental EDA mistake for ML Sponsors Top End Devs Coaching | Top End Devs Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib. In this episode... Why stick with Spark libraries vs. a single node operation? What algorithms are not in Spark Lib? What is the min. package set to use for supervised learning? Modeling and validation Down-sampling your data MLlib vs. scikit-learn Resources Sponsors Top End Devs Coaching | Top End Devs Links MLlib | Apache Spark What is PySpark? | Domino Data Science Dictionary UCI Machine Learning Repository Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning. In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to machine learning workflows. In this Episode… How does Spark work? What makes Apache Spark effective? Dot repartition in Spark Parallel processing systems What is an aggregation in Spark sequel? Analytics with Spark What is MPP? Testing for production Spark algorithms Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines. The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers around the online course provider “Coursera”. Ben and Michael set up the case studies with fundamental problem statements, followed by their various approaches to executing the objectives to achieve the desired process outcomes. Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best. Michael shares specific examples of how this can be done for human agent productivity within contact centers. They also discuss fully human controlled vs automated systems, delivering value with AI and ML, and the future of AI driven technology. In this Episode… How do you deliver value with AI and ML? Fully human controlled vs. fully automated systems ML software engineering vs traditional software Using static training data models and data validation Communicating process improvements and failures What is the future of ASAPP and AI driven technology? Sponsors Top End Devs Coaching | Top End Devs Links How a Level System can Help Forecast AI Costs - KDnuggets AI Research - ASAPP ASAPP Special Guest: Michael Griffiths.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also discuss open-source vs. proprietary platforms. What is AutoML? Automated machine learning provides methods and processes to make machine learning available for non-machine learning experts, to improve efficiency of machine learning and to accelerate research on machine learning. 2 levels of implementation: Blackbox AutoML can do one, or all of the things for feature selection with a statistical outset and self optimizing outcome. Whitebox AutoML exposes the code to explain how it behaves and allows you to produce predictions as to the influencing variables. Leveraging open-source toolkits vs. proprietary “The output is the model, the input is the data, and you can use that model to predict anything according to your business problem.” - Abid Ali Awan Sponsors Top End Devs Coaching | Top End Devs Links H2O.ai Special Guest: Abid Ali Awan .Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069 50:49
Video is considered the most complicated data to process and the volumes of video production are growing from day to day. Ben and Michael talk with Oleg and Anastasiya about how to leverage robotics and advanced cognitive computing-based video processing algorithms to automate the most routine parts of editing and post-production. Specifically, they discuss American sports such as the NFL, NBA, and NHL, and how to use AI to automate sports highlight reels can automate content post-processing video analytics to save time and streamline employee workflows. This is an exciting video you won’t want to miss! Sponsors Top End Devs Coaching | Top End Devs Special Guest: Anastasiya Vishnevskaya.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Michael and Ben talk about how to pick extra projects to build up your resume and become recognized as more of an expert. They discuss the specific ways to contribute within the community and who to interact with to strengthen your resume if you're new. Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Machine learning is getting bigger by the second, so it’s good to know how to leverage it. In this episode, Michael asks Ben hypothetical questions around how to effectively deploy machine learning in multiple fields, including the stock market. In This Episode 1) How to get started in the stock market without having gobs of hedge fund money 2) The ONE thing you NEED to know before even starting a project in this space (or you’re wasting your time AND money) 3) The BEST way to leverage open source software and have a competitive advantage Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
What happens when you teach ML and data science to kids? You learn a whole lot, too. In this episode, Ben and Michael sit down with Kathryn, a prolific writer and author who simplifies advanced concepts for kids to foster their passion for science. “I just love how curious kids are. I really connect with the questions they ask and how curious they are, so that’s why I love writing for them.” - Kathryn Hulick In This Episode 1) What you NEED to remember when trying to teach complicated topics to kids 2) The BIGGEST misconception around AI that kids need to understand 3) How we can approach ML and data science to learn better (and how kids already do this!) Sponsors Top End Devs Coaching | Top End Devs Special Guest: Kathryn Hulick.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Business Infrastructure in ML with Joe Reis - ML 065 1:00:13
1:00:13 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:13
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدEven an amazing algorithm can’t fix communication problems. In this episode, Ben and Michael sit down with Joe Reis, a data scientist and ML developer who’s passionate about helping people level up their communication and build solid business infrastructure. “I feel like the infrastructure piece is getting better. Once you get past the technical layer, it’s about basic things like communication, no matter how much money is thrown into it.” - Joe Reis In This Episode 1) SUPER exciting trends for data science for the first time in 10+ years 2) Why you NEED to have a marketing-focused approach in the ML space nowadays 3) The BIGGEST things you should consider when hiring and scaling to keep you business infrastructure intact Sponsors Top End Devs Coaching | Top End Devs Links Joe Reis ( JoeReis ) Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Ever feel like you can’t see the forest through the trees? We get it. In this episode, Michael sits down with Maria Zentsova, an ML developer and data analyst who teaches us how to get a handle on our data. “We all know that more data leads to more accuracy, so it’s important to get hands on.” - Maria Zentsova In This Episode 1) What KDNuggets is making data science and machine learning easier this year 2) The Do’s and Don’ts of data feeds and analysis in 2022 3) Why understanding this ONE issue is the key to avoiding relevance issues and finding your way out of the weeds Sponsors Top End Devs Coaching | Top End Devs Links Build a Serverless News Data Pipeline using ML on AWS Cloud - KDnuggets Special Guest: Maria Zentsova.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
In this episode, Ben and Michael cover more of Shreya Shankar’s deep dive into ML monitoring, including the biggest production challenges, what you NEED to know about adversarial attacks, and how to conduct effective tests and never make past mistakes again. In This Episode 1) The BIGGEST production challenges when it comes to ML in 2022 2) What you NEED to know about adversarial attacks (and how to keep your model secure) 3) How to know if your model tests are actually preventing past mistakes Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget, the do’s and don’ts about applying alerts, and the often-forgotten truth about data drift. “Machine learning models are not static; they are dynamic.” - Abhilash Pattnaik In This Episode: 1) This one UNFORGETTABLE fact for anyone entering the machine learning world (especially if you have little experience) 2) What you NEED to remember about how to measure data accuracy and relevance 3) The Do’s and Don’ts of applying alerts within your models (and how NOT to make it problematic) 4) The often-ignored truth around data drift and why companies react well or poorly Sponsors Top End Devs Coaching | Top End Devs Links Censius Special Guest: Abhilash Pattnaik.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Ready to dive DEEP into predictive modeling? You’ve come to the right podcast. In this episode, Ben and Michael sit down with Maarit Widmann, a data scientist whose bread and butter is making models more accurate. They discuss how to effectively use confusion matrices and other tools, why you need to avoid THIS misconception to get accurate churn rates, and the BIG question you should be asking if your data seems off. “If your model is failing, it’s probably been adding up for two weeks already. Instead of monitoring the accuracy, monitor the features. Ask ‘is the data changing?’” - Maarit Widmann In This Episode 1) The THREE techniques to help simplify these advanced concepts for beginners in the ML space (and why they need to know this stuff!) 2) Why you need to remember THIS misconception to avoid getting inaccurate churn rates from your models 3) How to effectively use confusion matrices, down sampling, and other popular tools for your models (and the biggest mistakes developers are making today) 4) The REAL question you need to ask yourself if your data seems off (and how this question helps prevent fraud!) Sponsors Top End Devs Coaching | Top End Devs Special Guest: Maarit Widmann.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls that you should know this year, the important questions that you NEED to ask yourself before launching your baby, and this ONE phenomenon that reveals a fundamental flaw in models versus the real deal. In This Episode The checklist of ELEVEN problems with ML monitoring that you need to consider in 2022 Why THIS is inevitable with ML monitoring no matter what (and why it’s not the end of the world…unless you make it) Before you make an assumptions about your model, ask yourself THESE questions and tread carefully This ONE phenomenon that reveals a HUGE flaw in models vs. real world Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source lifecycle manager for machine learning. They cover how Databricks is redefining how developers and engineers collaborate, the reason behind Databricks’ crazy success, and the number ONE most important testing structure for any development team. “A lot of the success was attributed to process and dedicated focus on the interface, understanding what major problems we were going after. ” - Corey Zumar In This Episode How Databricks allows data analysis, engineers, and developers to collaborate effectively Why Databricks was able to rake in 800,000 downloads per MONTH in their first year A simple but powerful methodology that helps Databrick identify the highest ROI problems to tackle (not just the most popular ones) The number one MOST important testing structure that reveals how Databricks keeps their work top-notch What makes Databricks unique from everyone else and is the KEY to putting users first in 2022 Sponsors Top End Devs Coaching | Top End Devs Special Guests: Corey Zumar, Harutaka Kawamura, Weichen Xu, and Zhang Jin.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days. In This Episode Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?) The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask) Not sure if you need machine learning or just plain data modeling? Michael lays it out for you What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond Sponsors Top End Devs Coaching | Top End Devs Sponsored By: Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their game. The two emphasize what your FIRST step should be, why A/B testing is not just for marketers, and the “elephant in the room” that determines how KPIs should be integrated. “It’s the chicken or the egg problem. It’s important to think about what model you’ll potentially use as you build out these pipelines. Step 1 is defining the business objective.” Michael Berk In This Episode: Before you focus on the pipeline or the model, Michael warns you to put THIS first on your checklist Why A/B testing is SO powerful and not just for marketers The #1 takeaway that will change how you implement KPIs Michael hammers home why “your data is only as good as your model” and why there’s no shortcut around it The “elephant in the room” that determines the what, who, and how of data analysis in any business Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence. Michael and Ben discuss how to put it together and how to use it. Panel Ben Wilson Michael Berk Sponsors Top End Devs Coaching | Top End Devs Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS 1:05:08
1:05:08 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:08
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدGet Lifetime Access to Mani's Entrepreneurship Pack and Book Club . Use coupon code "GREAT" Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and he shares his expertise with Chuck and the listeners in this special episode. Chuck and Mani discuss what it takes to be a successful entrepreneur. They talk about their businesses on a regular basis and Chuck's been getting a lot of requests for entrepreneurship help. He and Mani talk about the 3 primary things that add momentum to your business and help you keep the momentum up when setbacks come your way. Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club . Use coupon code "GREAT"Special Guest: Mani Vaya. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055 1:01:55
1:01:55 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:55
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدBen and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications. They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build engines and provide data and results to web and mobile developers. Panel Ben Wilson Charles Max Wood Sponsors Top End Devs Coaching | Top End Devs Picks Ben- Frank Herbert's Dune Saga 3-Book Charles- The Well of Ascension Charles- Traffic Secrets Charles- Steampunk Rally Fusion Charles- Author | Top End Devs Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. He has read hundreds of books that have taught him the secrets to getting more done by getting into this state. He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects. The trick? Deep Work! Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal. Other developers call it "Flow" or "the Zone." Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning. However, the conversation meanders through his background, what qualifications people should have, algorithms, and approaches to machine learning along with the tools discussion. Panel Ben Wilson Charles Max Wood Michael Berk Guest Aliaksei Mikhailiuk Sponsors Top End Devs Coaching | Top End Devs Links Nine Tools I Wish I Mastered Before My PhD in Machine Learning Aliaksei Mikhailiuk Aliaksei Mikhailiuk - Medium LinkedIn: Aliaksei Mikhailiuk Twitter: Aliaksei Mikhailiuk,PhD ( @mikhailiuka ) Picks Aliaksei- The Double Descent Hypothesis Ben- Aliaksei Mikhailiuk - Medium Charles- Shadow Hunters | Board Game | BoardGameGeek Charles- Author | Top End Devs Charles- Xero Charles- Stripe Michael- Increase track pad or mouse speed to the Maximum Special Guest: Aliaksei Mikhailiuk.Sponsored By: Coaching | Top End Devs : Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams Top End Devs : Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup. Panel Ben Wilson Charles Max Wood Guest Michael Berk Sponsors Dev Influencers Accelerator Level Up | Devchat.tv Links How to Find Weaknesses in your Machine Learning Models LinkedIn: Michael Berk Michael Berk - Medium Picks Ben- David Thorne Books Charles- Shadow Hunter Charles- Top End Devs Charles- Become an Author | Top End Devs Charles- Coaching | Top End Devs Michael- Stuart Russell Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Special Guest: Michael Berk.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical data and how to identify trends in the data. Panel Ben Wilson Charles Max Wood Guest Pier Paolo Ippolito Sponsors Dev Influencers Accelerator Level Up | Devchat.tv Links Paradoxes in Data Science Pier Paolo Ippolito Twitter: Pier Paolo Ippolito( @Pier_Paolo_28 ) Picks Ben- Python Type Checking Charles- The 360 Degree Leader Charles- Top End Devs Charles- Become An Author | Top End Devs Charles- Coaching | Top End Devs Charles- The Search for Planet X Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Special Guest: Pier Paolo Ippolito.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the various parts of your applications including your Machine Learning models. Panel Ben Wilson Charles Max Wood Francois Bertrand Sponsors Dev Influencers Accelerator Level Up | Devchat.tv Picks Ben- The Boston Housing Dataset Charles- Coaching | Top End Devs Charles- The 360 Degree Leader Charles- The Laws of Wealth: Psychology and the Secret to Investing Success Francois- Dune Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI. FastAPI is a system for connecting and running Python programs. If your model is built in Python, you can use FastAPI to deploy to Heroku or similar services. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Ahmad Mustafa Anis Sponsors Dev Influencers Accelerator Level Up | Devchat.tv Links How to deploy Machine Learning/Deep Learning models to the web Machine Learning Guide Podcast Ahmad Anis, Author at cnvrg Ahmad Anis - KDnuggets LinkedIn: Ahmad Anis GitHub: Ahmad Mustafa Anis ( ahmadmustafaanis ) Twitter: Ahmad Mustafa Anis ( @AhmadMustafaAn1 ) Picks Ahmad- Deep Learning for Coders with Fastai and PyTorch Ben- Arcadia: A Novel Charles- JSJ 278 Machine Learning with Tyler Renelle Charles- X: Multiply Your God-Given Potential Charles- The Art of Impossible: A Peak Performance Primer Charles- Lost Ruins of Arnak Charles- Steampunk Rally Charles- Gods Love Dinosaurs Francois- Will and Vision: How Latecomers Grow to Dominate Markets Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guest: Ahmad Mustafa Anis.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them. Panel Ben Wilson Francois Bertrand Guest Elena Samuylova Emeli Dral Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links Evidently AI When to Retrain an Machine Learning Model? Run these 5 checks to decide on the schedule GitHub | evidentlyai/evidently LinkedIn: Elena Samuylova Twitter: Elena Samuylova ( @elenasamuylova ) LinkedIn: Emeli Dral Twitter: Emeli Dral ( @EmeliDral ) Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guests: Elena Samuylova and Emeli Dral.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Podcast Bootcamp : Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the right foot! Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Demetrios Brinkmann Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links MLOps Community Twitter: mlopscommunity ( @mlopscommunity ) LinkedIn: Demetrios Brinkmann Twitter: Demetrios ( @Dpbrinkm ) Picks Ben- MLFlow Charles- Tribe of Millionaires Charles- Top End Devs Demetrios- Make Noise: A Creator's Guide to Podcasting and Great Audio Storytelling Demetrios- Out on the Wire Demetrios- Radiolab: Podcasts Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guest: Demetrios Brinkmann.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Podcast Bootcamp : Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the right foot! Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047 1:09:54
1:09:54 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:09:54
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدConor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the outcomes they want. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Conor Murphy Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links A dose of awe from the bleeding edge of neuroscience, AI and philosophy LinkedIn: Conor B. Murphy Instagram: Conor B Murphy ( conorbmurphy ) Picks Ben- ArjanCodes - YouTube Charles- PodcastBootcamp.io Charles- Masters of Doom Charles- How to Make Sh*t Happen Charles- Tribe of Millionaires Conor- The Art of Impossible Charles- The Road Back to You Conor- Scale Francois- Favro Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guest: Conor Murphy.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046 1:02:28
1:02:28 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:28
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدAntonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing AI to make the lifecycle of software development easier. Panel Ben Wilson Francois Bertrand Guest Antonio Alegria Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links A.I., Machine Learning Job Opportunities: What the Experts Think AI In Code Series: OutSystems - AI drives developer navigation, automation & validation The Role of AI Within Low-Code Development How to Become an AI Driven Organization + Using Prebuilt AI Tools to Get Started | OutSystems Outsystems: Revolutionizing App Development for the Enterprise António Alegria, Outsystems | Outsystems NextStep 2020 - YouTube Augmenting The Work of OutSystems Developers With AI-Assisted Development OutSystems Update: AI and Machine Learning for Application Development LinkedIn: OutSystems Twitter: OutSystems ( @OutSystems ) LinkedIn: Antonio Alegria Twitter: Antonio Alegria ( @antonioalegria ) Picks Antonio- Tesla AI Day Ben- ZenML Francois- 7 habits of highly effective people Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guest: Antonio Alegria.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045 1:20:32
1:20:32 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:20:32
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSlater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching. Panel Ben Wilson Francois Bertrand Guest Slater Victoroff Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links LinkedIn: Slater Victoroff Twitter: Slater Victoroff ( @sl8rv ) Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guest: Slater Victoroff.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 AI Assisted Development ft. Sydney Lai - ML 044 1:16:03
1:16:03 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:16:03
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for. Panel Ben Wilson Charles Max Wood Guest Sydney Lai Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links Developer Community | OutSystems Software Downloads | OutSystems Twitter: Sydney Lai ( @sydneylai ) Picks Ben- Veritasium Charles- PodcastBootcamp.io Charles- Top End Devs Charles- The Chosen Sydney- Michael Pollan Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Special Guest: Sydney Lai .Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
1 Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043 1:07:14
1:07:14 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:14
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want. Panel Ben Wilson Charles Max Wood Guest Sandeep Uttamchandani Sponsors Dev Influencers Accelerator Level Up | Devchat.tv Links 98 things that can go wrong in an ML project The Self-Service Data Roadmap How to build a unicorn AI team without unicorns For Successful AI Projects, Celebrate Your Graveyard Data for Humanity For successful AI projects, celebrate your graveyard and be prepared to fail fast Sandeep Uttamchandani - Medium Sandeep Uttamchandani, Ph.D. Twitter: Sandeep Uttamchandan ( @sandeepu ) Picks Ben- The Self-Service Data Roadmap Charles- Level Up | Devchat.tv Charles- Big Rock Candy Mountain Resort Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Special Guest: Sandeep Uttamchandani.Sponsored By: Top End Devs Coaching : If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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Adventures in Machine Learning
Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career. Ben Wilson also gets asked about this frequently and chimes in with his experience. Panel Charles Max Wood Ben Wilson Francois Bertrand Guest Alexey Grigorev Sponsors Dev Influencers Accelerator Links From Software Engineering to Machine Learning Machine Learning Zoomcamp Datatalks.Club LinkedIn: Alexey Grigorev Twitter: Alexey Grigorev ( @Al_Grigor ) Picks Alexey- Running from Complexity Ben- Machine Learning Bookcamp Charles- Devchat.tv/levelup Francois- Cozy Fall Coffee Shop Ambience - YouTube Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz Special Guest: Alexey Grigorev. Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .…
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مشابه Adventures in Machine Learning
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