Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178

Adventures in Machine Learning

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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

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Wyatt Flores’s Red Dirt Roots 43:43

23 روز پیش43:43

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43:43

Wyatt Flores is a 23-year-old singer-songwriter from Stillwater, Oklahoma, who’s making a name for himself in the Red Dirt music scene, building on the musical legacy of his home state. He grew up on a ranch in a working-class family where he was surrounded by musicians, often hearing them play cowboy songs around a campfire. His father, a drummer, built him a stage in the backyard when he recognized his talent, and his Uncle Bobby taught him how to play guitar. Now Wyatt is playing in front of thousands of fans, singing at the Grand Ole Opry, and writing songs that are winning audiences with their honesty, heart, and vulnerability. His debut album, Welcome to the Plains, explores the rough—and sometimes violent—side of growing up in rural Oklahoma, but it also shows a talent for storytelling and a wry sense of humor. Sid talks to Wyatt about why he’s so happy to be back in Stillwater after a couple of years in Nashville, the mental health struggles he’s openly shared with his fans, the family member he wants to have on his podcast, and why his favorite food is a breakfast burrito. Learn more about your ad choices. Visit podcastchoices.com/adchoices…

حدود یک سال پیش 1:12:04

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In 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.
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209 قسمت

#Tech #Careers #Business #Machine Learning #Artificial Intelligence #Data Analysis #Data Science #Podcasting Education #Ben Wilson, Michael Berk #Ben Wilsons #Michael Berk

Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178

Adventures in Machine Learning

54 subscribers

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

209 قسمت

#Tech #Careers #Business #Machine Learning #Artificial Intelligence #Data Analysis #Data Science #Podcasting Education #Ben Wilson, Michael Berk #Ben Wilsons #Michael Berk

همه قسمت ها

1
Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185 55:37

12 weeks پیش55:37

55:37

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

19 weeks پیش51:26

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 .…

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Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183 55:08

22 weeks پیش55:08

55:08

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 .…

1
Cows, Camels, and the Human Brain - ML 182 42:06

24 weeks پیش42:06

42:06

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 .…

1
A/B Testing with ML ft. Michael Berk - ML 181 45:41

25 weeks پیش45:41

45:41

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 .…

1
Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180 31:58

26 weeks پیش31:58

31:58

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 .…

1
Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179 54:55

27 weeks پیش54:55

54:55

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

28 weeks پیش1:12:04

1:12:04

1
The Nature of the World and AI with Rishal Hurbans - ML 177 40:36

28 weeks پیش40:36

40:36

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

30 weeks پیش55:43

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 .…

1
Challenges and Solutions in Managing Code Security for ML Developers - ML 175 51:46

31 weeks پیش51:46

51:46

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 .…

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Innovative Security Solutions for Developers - ML 174 58:26

32 weeks پیش58:26

58:26

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

33 weeks پیش1:08:09

1:08:09

In 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 .…

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Navigating Expertise Gaps - ML 172 1:16:15

34 weeks پیش1:16:15

1:16:15

In 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

35 weeks پیش1:08:19

1:08:19

In 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 .…

Adventures in Machine Learning

1
Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155 57:43

1 year پیش57:43

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 .…

Adventures in Machine Learning

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Balancing Theoretical Knowledge with Hands-on Experience - ML 154 1:07:42

1 year پیش1:07:42

1:07:42

Michael 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 .…

Adventures in Machine Learning

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AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153 1:17:50

1 year پیش1:17:50

1:17:50

Michael 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 .…

Adventures in Machine Learning

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The Journey to Expertise with Fernando Lopez - ML 152 1:05:04

1 year پیش1:05:04

1:05:04

Fernando 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 .…

Adventures in Machine Learning

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Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151 1:07:05

1 year پیش1:07:05

1:07:05

Deeksha 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 .…

Adventures in Machine Learning

1
The Impact of AI Tools on Software Development and Quality Assurance - ML 150 1:13:31

1 year پیش1:13:31

1:13:31

Matt 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 .…

Adventures in Machine Learning

1
Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149 1:06:38

1 year پیش1:06:38

1:06:38

Terry 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 .…

Adventures in Machine Learning

1
Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148 1:16:09

1 year پیش1:16:09

1:16:09

Lukas 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 .…

Adventures in Machine Learning

1
Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147 1:06:25

1 year پیش1:06:25

1:06:25

Nick 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 .…

Adventures in Machine Learning

1
The Science-Engineering Blend - ML 146 51:49

1 year پیش51:49

51:49

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 .…

Adventures in Machine Learning

1
The Impact of Process on Successful Tech Companies - ML 145 1:05:41

1 year پیش1:05:41

1:05:41

Michael 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 .…

Adventures in Machine Learning

1
Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144 38:12

1 year پیش38:12

38:12

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 .…

Adventures in Machine Learning

1
MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143 1:01:21

1 year پیش1:01:21

1:01:21

Ben 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 .…

Adventures in Machine Learning

1
Navigating Authority and Transparency in Organizations - ML 142 59:58

1 year پیش59:58

59:58

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 .…

Adventures in Machine Learning

1
Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141 1:17:18

1 year پیش1:17:18

1:17:18

Davis 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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