The New Data Engineering Landscape: DataOps, VectorOps, and LangChain

Data Science Tech Brief By HackerNoon

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Wyatt Flores’s Red Dirt Roots 43:43

18 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…

۲ سال پیش 6:34

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This story was originally published on HackerNoon at: https://hackernoon.com/the-new-data-engineering-landscape-dataops-vectorops-and-langchain.
DataOps, VectorOps, and LangChain integration creates powerful applications that combine efficient data management, high-dimensional data processing.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data, #dataops, #devops, #vectorops, #vector-search, #langchain, #gpt, #bert, and more.
This story was written by: @epappas. Learn more about this writer by checking @epappas's about page, and for more stories, please visit hackernoon.com.
As large language models (LLMs) like GPT-4 emerge, managing high-dimensional data structures becomes increasingly important. LangChain, an LLM-powered application development framework, integrates with DataOps and VectorOps processes and utilizes vector databases to create data-aware, interactive applications.

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The New Data Engineering Landscape: DataOps, VectorOps, and LangChain

Data Science Tech Brief By HackerNoon

published ۲ سال پیش

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126 قسمت

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98% of Data Strategies Fail: Let's Fix It 11:24

46 weeks پیش11:24

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This story was originally published on HackerNoon at: https://hackernoon.com/98percent-of-data-strategies-fail-lets-fix-it . Learn how to fix failing data strategies using the '5 W's' framework. Transform your approach to KPIs and drive real business value with actionable insights. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-strategy , #kpi-management , #business-intelligence , #data-driven-decisions , #executive-leadership , #analytics-roi , #data-roi , #data-governance , and more. This story was written by: @liorb . Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com . Even the most well-equipped organizations can find themselves serving up a mess instead of actionable insights. Here's a step-by-step process of fixing your data strategy, ensuring that you're serving up actionable data instead of a recipe for disaster. In the following sections, we'll dive into the common data strategy nightmares.…

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How To Measure The Results Of In-App Events When Onelinks Don’t Work 5:59

47 weeks پیش5:59

5:59

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-measure-the-results-of-in-app-events-when-onelinks-dont-work . How To Measure The Results Of In-App Events When Onelinks Don’t Work Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #analytics , #onelink , #inapp-events , #marketing , #app-store , #mobile-apps , #digital-marketing , #good-company , and more. This story was written by: @socialdiscoverygroup . Learn more about this writer by checking @socialdiscoverygroup's about page, and for more stories, please visit hackernoon.com . Many app developers and marketing managers face the challenge of accurately measuring the impact of In-App Events (IAEs) on the App Store. While IAEs have proven effective for re-engaging users, attracting new downloads, and increasing revenue, traditional tracking methods like OneLink don’t actually include IAEs. Major mobile attribution platforms confirm that currently there is no way to track IAEs properly. At Social Discovery Group, our portfolio of 60+ dating and entertainment brands is supported by a team of over 100 marketers dedicated to app growth and development. We’re used to measuring all our marketing efforts in terms of financial value. Eventually, we’ve managed to develop our own composite way to evaluate IAEs, and are going to share it with you.…

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How AI-Powered Data Mapping is Democratizing Data Management 8:10

47 weeks پیش8:10

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This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-powered-data-mapping-is-democratizing-data-management . Learn how AI-powered data mapping is transforming data management, making it more accessible and efficient for everyone. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-mapping , #data-management , #big-data , #ai-powered , #ai-powered-data-management , #democratizing-data-management , #data-science , #ai-powered-data-mapping , and more. This story was written by: @kristenburke . Learn more about this writer by checking @kristenburke's about page, and for more stories, please visit hackernoon.com . AI is revolutionizing data mapping by automating and simplifying the process, making data management more efficient and accessible for businesses and non-technical users alike.…

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Data Engineering: What’s the Value of API Security in the Generative AI Era? 5:47

47 weeks پیش5:47

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This story was originally published on HackerNoon at: https://hackernoon.com/data-engineering-whats-the-value-of-api-security-in-the-generative-ai-era . Discover the importance of API security in the age of Generative AI. Learn how robust API protection ensures data integrity. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #generative-ai , #ai-regulation , #api-security , #data-security , #data-privacy , #threat-detection , #cybersecurity-best-practices , and more. This story was written by: @karthikrajashekaran . Learn more about this writer by checking @karthikrajashekaran's about page, and for more stories, please visit hackernoon.com . API security is crucial in the era of Generative AI, ensuring data integrity, protecting user privacy, and enabling secure and efficient AI integration. Robust API protection helps prevent unauthorized access, data breaches, and potential misuse of AI capabilities.…

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Say Goodbye to Outdated Diagrams: Automate Your Infrastructure Visualization 7:15

47 weeks پیش7:15

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This story was originally published on HackerNoon at: https://hackernoon.com/say-goodbye-to-outdated-diagrams-automate-your-infrastructure-visualization . Automate your infrastructure diagrams. Guide helps you maintain fresh, accurate visuals with minimal effort, perfect for managing Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #visualization , #cloud-infrastructure , #terraform , #diagram , #infrastructure-as-code , #cloud , #aws , #infrastructure-visualization , and more. This story was written by: @vladimirf . Learn more about this writer by checking @vladimirf's about page, and for more stories, please visit hackernoon.com . Tired of making awesome infrastructure diagrams that become outdated as soon as you save them? Yeah, me too. Luckily, there are tools out there to help.…

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Why C-Suite Executives Won’t Cut it Without Data Skills Anymore 6:45

47 weeks پیش6:45

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This story was originally published on HackerNoon at: https://hackernoon.com/why-c-suite-executives-wont-cut-it-without-data-skills-anymore . Modern executives must master data skills to navigate data privacy, cybersecurity, and strategic decisions. Learn why C-suite leaders can't afford to lag behind Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-literacy , #thought-leadership , #leadership-skills , #data-skills , #data-governance , #data-visualization-tools , #cybersecurity-executives , #hackernoon-top-story , and more. This story was written by: @znenad079 . Learn more about this writer by checking @znenad079's about page, and for more stories, please visit hackernoon.com . Every industry generates massive amounts of data, which is now being used for better decision-making. One of today’s most pressing challenges for executives is data privacy concerns and cybersecurity. Modern executives must have data skills to understand the flow of valuable data in their company and know how to make it work for them.…

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Meet New & Improved BigQuery: Single, Unified AI-Ready Data Platform 10:20

48 weeks پیش10:20

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This story was originally published on HackerNoon at: https://hackernoon.com/meet-new-and-improved-bigquery-single-unified-ai-ready-data-platform . Google has gone a step further and unified key data Google Cloud analytics capabilities under BigQuery - now the single, AI-ready data analytics platform. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analytics , #google-bigquery , #bigquery-and-google-cloud , #ai-integration , #big-query-and-gemini , #good-company , #hackernoon-top-story , #real-time-data-analytics , and more. This story was written by: @googlecloud . Learn more about this writer by checking @googlecloud's about page, and for more stories, please visit hackernoon.com . We’ve gone a step further and unified key data Google Cloud analytics capabilities under BigQuery, which is now the single, AI-ready data analytics platform. BigQuery incorporates key capabilities from multiple Google Cloud analytics services into a single product experience that offers the simplicity and scale you need to manage structured data in BigQuery tables, unstructured data like images, audience and documents, and streaming workloads, all with the best price-performance.…

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Decoding Transformers' Superiority over RNNs in NLP Tasks 9:38

48 weeks پیش9:38

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This story was originally published on HackerNoon at: https://hackernoon.com/decoding-transformers-superiority-over-rnns-in-nlp-tasks . Explore the intriguing journey from Recurrent Neural Networks (RNNs) to Transformers in the world of Natural Language Processing in our latest piece: 'The Trans Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #nlp , #transformers , #llms , #natural-language-processing , #large-language-models , #rnn , #machine-learning , #neural-networks , and more. This story was written by: @artemborin . Learn more about this writer by checking @artemborin's about page, and for more stories, please visit hackernoon.com . Despite Recurrent Neural Networks (RNNs) designed to mirror certain aspects of human cognition, they've been surpassed by Transformers in Natural Language Processing tasks. The primary reasons include RNNs' issues with the vanishing gradient problem, difficulty in capturing long-range dependencies, and training inefficiencies. The hypothesis that larger RNNs could mitigate these issues falls short in practice due to computational inefficiencies and memory constraints. On the other hand, Transformers leverage their parallel processing ability and self-attention mechanism to efficiently handle sequences and train larger models. Thus, the evolution of AI architectures is driven not only by biological plausibility but also by practical considerations such as computational efficiency and scalability.…

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How to Enable Auto-Start for Apache DolphinScheduler 4:18

49 weeks پیش4:18

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-enable-auto-start-for-apache-dolphinscheduler . To set DolphinScheduler to start automatically upon system boot, you typically need to configure it as a system service. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #bigdata , #data-science , #workflow-automation , #linux , #how-to-enable-auto-start , #apache-dolphinscheduler , #apache-dolphinscheduler-guide , and more. This story was written by: @williamguo . Learn more about this writer by checking @williamguo's about page, and for more stories, please visit hackernoon.com . To set DolphinScheduler to start automatically upon system boot, you typically need to configure it as a system service. The following are general steps, which may vary depending on your operating system.…

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Benchmarking Apache Kafka: Performance-per-price 13:11

49 weeks پیش13:11

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This story was originally published on HackerNoon at: https://hackernoon.com/benchmarking-apache-kafka-performance-per-price . This is a study comparing environments for Apache Kafka. The ultimate goal is to find the most effective setup and achieve the best price-performance ratio. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #apache-kafka , #amd , #arm , #aws , #gcp , #kafka-performance , #benchmarking-apache-kafka , #hackernoon-top-story , and more. This story was written by: @mishaepikhin . Learn more about this writer by checking @mishaepikhin's about page, and for more stories, please visit hackernoon.com . ARM rocks. Modern expensive architecture does not always mean “better”.…

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When and When Not to Use Apache Kafka as a Database 9:26

50 weeks پیش9:26

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This story was originally published on HackerNoon at: https://hackernoon.com/when-and-when-not-to-use-apache-kafka-as-a-database . Discover how Apache Kafka’s data retention and querying capabilities make it similar to a database and learn when to use Kafka for database-like use cases. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #apache-kafka , #kafka-vs-database , #kafka-as-a-database , #real-time-data-processing , #database-management , #kafka-querying-capabilities , #open-source-event-streaming , #apache-kafka-for-data-storage , and more. This story was written by: @aahil . Learn more about this writer by checking @aahil's about page, and for more stories, please visit hackernoon.com . Apache Kafka, while not a traditional database, has database-like properties such as data retention and querying capabilities. This article explores when Kafka can be used for database-like purposes and when it is best suited as a streaming platform.…

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50 weeks پیش7:35

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This story was originally published on HackerNoon at: https://hackernoon.com/a-leaders-guide-to-data-driven-success . Transform data from a source of frustration into a powerful business tool with this practical guide for executives. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-strategy , #business-insights , #data-management , #data-literacy , #data-analytics , #business-growth , #information-overload , #business-strategy , and more. This story was written by: @liorb . Learn more about this writer by checking @liorb's about page, and for more stories, please visit hackernoon.com . Despite having more information than ever, making informed decisions seems increasingly challenging. This guide is designed to help you transform data from a source of frustration into a powerful tool for driving business growth. From my own experience, I've seen professionals dedicating up to 50% of their workweek to validating data.…

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Seamlessly Migrate Your On-Premise Data Pipeline to Azure with These Key Steps 12:35

51 weeks پیش12:35

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This story was originally published on HackerNoon at: https://hackernoon.com/seamlessly-migrate-your-on-premise-data-pipeline-to-azure-with-these-key-steps . Scaling AI/ML Data Needs: Migrating On-Premise Data Engineering Workloads to Azure Cloud Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #azure-data-factory , #data-pipeline-migration , #azure-migration , #azure-data-integration , #cloud-data-transfer , #cloudera-to-azure , #azure-security-compliance , and more. This story was written by: @amlanpatnaik . Learn more about this writer by checking @amlanpatnaik's about page, and for more stories, please visit hackernoon.com . This guide details the process of migrating an on-premise Cloudera data system to Azure, covering key considerations, challenges, and best practices to ensure a smooth and secure transition.…

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Data Collection for Product Managers 7:55

51 weeks پیش7:55

7:55

This story was originally published on HackerNoon at: https://hackernoon.com/data-collection-for-product-managers . Discover how product managers can bridge the gap between intuition and data to optimize product improvement with best practices and real-world examples. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-collection , #startups , #data-product-management , #data-driven-insights , #data-driven-decision-making , #product-manager , #product-management-tips , #how-to-collect-data , and more. This story was written by: @carolinagarcia . Learn more about this writer by checking @carolinagarcia's about page, and for more stories, please visit hackernoon.com . Discover how product managers can bridge the gap between intuition and data to optimize product improvement. This guide explores the importance of data-driven decision-making, offering best practices and real-world examples from companies like NuBank, Monzo, Deliveroo, and Booking.com. Learn how to acquire insights from customer feedback, track performance metrics, monitor market trends, and refine product roadmaps through iterative experimentation. Become a data-driven PM and create products that users will love.…

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Data Collection for Product Managers 7:55

51 weeks پیش7:55

7:55

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Leveraging Data Granularity, Distribution, and Modeling for Effective Product Management 11:39

51 weeks پیش11:39

11:39

This story was originally published on HackerNoon at: https://hackernoon.com/leveraging-data-granularity-distribution-and-modeling-for-effective-product-management . These three fundamental concepts are exceptionally needed for being able to use data to enhance product strategy. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #data-driven-product-management , #data-granularity , #data-distribution , #product-strategy , #user-behavior-analysis , #data-modeling , #business-strategy , and more. This story was written by: @gevorgkazaryan . Learn more about this writer by checking @gevorgkazaryan's about page, and for more stories, please visit hackernoon.com . Granularity determines the level of detail available in the data, which directly impacts what you can observe and analyze. For instance, finer granularity provides more detailed insights but may require more sophisticated handling and processing techniques. Distribution helps identify the patterns and spread of data, which is critical for selecting the appropriate analysis techniques and ensuring the accuracy of predictive models. Data Modeling uses the insights gained from understanding granularity and distribution to build predictive or descriptive models that inform decision-making and strategy.…

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How Vectors, Rag and Llama 3 Are Changing First-Party Data 7:59

51 weeks پیش7:59

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This story was originally published on HackerNoon at: https://hackernoon.com/how-vectors-rag-and-llama-3-are-changing-first-party-data . In the battle for the best data, is first-party better? Not by itself, but it could be with vectors, frameworks like RAG, and open-source models Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #first-party-data , #big-data , #datasets , #rag-architecture , #retrieval-augmented-generation , #vector-embedding , #ai-models-for-data-analysis , #hackernoon-top-story , and more. This story was written by: @danielsvonava . Learn more about this writer by checking @danielsvonava's about page, and for more stories, please visit hackernoon.com . The push for first-party data generally goes that companies need to become better stewards of data acquisition and management. Consumers increasingly want to know who is hanging onto their personal information, how they got it, why they have it, and what is being done with it. The push to take back control of data seems essential, but is it practical?…

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16 Best Sklearn Datasets for Building Machine Learning Models 21:22

51 weeks پیش21:22

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This story was originally published on HackerNoon at: https://hackernoon.com/16-best-sklearn-datasets-for-building-machine-learning-models . Sklearn datasets are included as part of the scikit-learn (sklearn) library, so they come pre-installed with the library. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #sklearn , #datasets , #datascience , #sklearn-datasets , #machine-learning , #python-programming , #dataset , #hackernoon-top-story , and more. This story was written by: @datasets . Learn more about this writer by checking @datasets's about page, and for more stories, please visit hackernoon.com . Sklearn is a Python module for machine learning built on top of SciPy. It is unique due to its wide range of algorithms and ease of use. Data powers machine learning algorithms and scikit-learn. Sklearn offers high quality datasets that are widely used by researchers, practitioners and enthusiasts.…

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Enhancing Audit Processes With Advanced Analytical Tools 5:01

51 weeks پیش5:01

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This story was originally published on HackerNoon at: https://hackernoon.com/enhancing-audit-processes-with-advanced-analytical-tools . Discover how advanced analytical tools streamline audit processes, boosting accuracy and efficiency for tech professionals. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #advanced-analytics , #software-development , #audit , #analytics-based-auditing , #auditing-tech , #data-visualization , #complex-event-processing , #ai-in-analytics , and more. This story was written by: @devinpartida . Learn more about this writer by checking @devinpartida's about page, and for more stories, please visit hackernoon.com . Developers can leverage advanced analytics tools to streamline and improve software, compliance and internal controls auditing. Advanced analytics tools like artificial intelligence, complex event processing and data mining enable 100% population testing. They eliminate the need for sampling, thereby reducing bias and error risks. Autonomous technologies like AI are particularly beneficial since they eliminate human error.…

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Go Clean to Be Lean: Data Optimization for Improved Business Efficiency 11:30

52 weeks پیش11:30

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This story was originally published on HackerNoon at: https://hackernoon.com/go-clean-to-be-lean-data-optimization-for-improved-business-efficiency . The article discusses cost optimization with clean data, explaining how businesses can save resources by reducing the workload for data analysts and more. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-cleaning , #data-optimization , #data-cleansing , #clean-data , #big-data , #big-data-processing , #data-processing , #business-data , and more. This story was written by: @karolisdidziulis . Learn more about this writer by checking @karolisdidziulis's about page, and for more stories, please visit hackernoon.com . This article discusses cost optimization with clean data. It explains how businesses can save resources by decreasing the load for data analysts, among other opportunities. It also discusses the differences between raw and clean data and who can benefit from switching to the latter. You'll also find 4 ways in which clean data reduces time to value.…

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Efficient Data Management and Workflow Orchestration with Apache Doris Job Scheduler 7:26

52 weeks پیش7:26

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This story was originally published on HackerNoon at: https://hackernoon.com/efficient-data-management-and-workflow-orchestration-with-apache-doris-job-scheduler . Apache Doris 2.1.0's built-in Job Scheduler simplifies task automation with high efficiency, flexibility, and easy integration for seamless data management. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #big-data , #database , #open-source , #programming , #apache-doris , #task-automation , #workflow-orchestration , and more. This story was written by: @frankzzz . Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com . The built-in Doris Job Scheduler triggers pre-defined operations efficiently and reliably. It is useful in many cases including ETL and data lake analytics.…

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Scaling Ethereum: Data Bloat, Data Availability, and the Cloudless Solution 17:12

1 year پیش17:12

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This story was originally published on HackerNoon at: https://hackernoon.com/scaling-ethereum-data-bloat-data-availability-and-the-cloudless-solution . Determining how to persist Ethereum’s excess data will allow it to scale indefinitely into the future, and Codex has arrived to help. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-storage , #decentralized-storage , #peer-to-peer , #web3-storage , #ethereum , #ethereum-scaling , #good-company , #data-bloat , and more. This story was written by: @logos . Learn more about this writer by checking @logos's about page, and for more stories, please visit hackernoon.com . Codex is a cloudless, trustless, p2p storage protocol seeking to offer strong data persistence and durability guarantees for the Ethereum ecosystem and beyond. Due to the rapid development and implementation of new protocols, the Ethereum blockchain chain has become bloated with data. This data bloat can also be defined as “network congestion,” where transaction data clogs the network and undermines scalability. Codex offers a solution to the DA problem, except with data persistence.…

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What Frontend Devs Want (From Backend Devs) 5:42

1 year پیش5:42

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This story was originally published on HackerNoon at: https://hackernoon.com/what-frontend-devs-want-from-backend-devs . Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-structure , #backend-developer , #typescript , #programming-advice , #api , #coding-teamwork , #how-to-have-clean-code , #figma , and more. This story was written by: @smileek . Learn more about this writer by checking @smileek's about page, and for more stories, please visit hackernoon.com . Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Here are a few simple things that can decrease your time-to-market or improve other fancy metrics your managers want you to improve. I will tell it from the web developers’ point of view, but from what I remember, the same works for mobile development.…

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How to Build an AI Chatbot with Python and Gemini API 6:04

1 year پیش6:04

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-an-ai-chatbot-with-python-and-gemini-api . Learn how to create a web-based AI chatbot using Python and the Gemini API with this step-by-step beginner-friendly guide. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #ai-chatbot , #google-gemini , #google-ai , #gemini-api , #python-tutorials , #python-flask , #chatbot-development , and more. This story was written by: @proflead . Learn more about this writer by checking @proflead's about page, and for more stories, please visit hackernoon.com . This guide walks you through building a web-based AI chatbot using Python and the Gemini API. From setting up your environment to running your chatbot, you'll learn each step to create your own AI assistant.…

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How to Set Up a Local DNS Server With Python 4:13

1 year پیش4:13

4:13

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-set-up-a-local-dns-server-with-python . DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #networking , #dns-server-guide , #how-to-set-up-dns-server , #how-to-creatw-html-files , #http-server-guide , #troubleshooting-dns-server , #python-and-dns-servers , and more. This story was written by: @hackerclukchp0j00003b6oy80p1nrw . Learn more about this writer by checking @hackerclukchp0j00003b6oy80p1nrw's about page, and for more stories, please visit hackernoon.com . DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Setting up your own local DNS server can be beneficial for various reasons, including local development, internal network management, and educational purposes. We’ll create a simple HTTP server using Python’s built-in `http.server` module to serve the HTML files.…

1
The Collective Loves Data: How Big Data Is Shaping and Predicting Our Future 8:11

1 year پیش8:11

8:11

This story was originally published on HackerNoon at: https://hackernoon.com/the-collective-loves-data-how-big-data-is-shaping-and-predicting-our-future . Big data shapes our future! Explore how massive datasets are used to predict trends & make smarter decisions. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #big-data , #what-is-big-data , #examples-of-big-data , #digital-footprint , #machine-world , #big-data-storage , #big-data-processing , #what-to-know-about-big-data , and more. This story was written by: @manoj123 . Learn more about this writer by checking @manoj123's about page, and for more stories, please visit hackernoon.com . Big data surrounds us! From social media posts to sensor readings, vast amounts of information shape our world. This article by a Google engineer dives into what big data is (think massive, varied, and ever-growing data sets) and how it's analyzed to predict trends and make smarter decisions. Learn about real-world applications and exciting future possibilities like AI and quantum computing.…

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Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB? 12:01

1 year پیش12:01

12:01

This story was originally published on HackerNoon at: https://hackernoon.com/apache-doris-for-log-and-time-series-data-analysis-in-netease-why-not-elasticsearch-and-influxdb . NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #logging , #time-series-analysis , #time-series-database , #big-data-analytics , #elasticsearch , #database , #netease , and more. This story was written by: @frankzzz . Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com . NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively, achieving 11X query performance and saving 70% of resources.…

1
Unlocking the Power of Data Lakes for Embedded Analytics in Multi-Tenant SaaS 15:16

1 year پیش15:16

15:16

This story was originally published on HackerNoon at: https://hackernoon.com/unlocking-the-power-of-data-lakes-for-embedded-analytics-in-multi-tenant-saas . Discover why data lakes are superior to traditional data warehouses for embedded analytics in SaaS applications. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analytics , #embedded-analytics , #data-lake , #data-warehouse , #qrvey , #b2b-saas , #data-storage , #good-company , and more. This story was written by: @goqrvey . Learn more about this writer by checking @goqrvey's about page, and for more stories, please visit hackernoon.com . Analytics should extract maximum insight right? Well, to do that, you’ll need complete access to all relevant data. A data lake is a central storage for all kinds of data in its original, unstructured form. Data lakes are generally more cost-effective than data warehouses for embedded analytics use cases.…

1
The LinkedIn Nanotargeting Experiment that Broke All the Rules 10:50

1 year پیش10:50

10:50

This story was originally published on HackerNoon at: https://hackernoon.com/the-linkedin-nanotargeting-experiment-that-broke-all-the-rules . Discover how a groundbreaking nanotargeting experiment on LinkedIn defies audience size restrictions, unlocking new ad campaign strategies. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #nanotargeting , #online-advertising , #user-privacy , #user-data-security , #hyper-personalized-ads , #public-data-risks , #linkedin-advertising , #hackernoon-top-story , and more. This story was written by: @netizenship . Learn more about this writer by checking @netizenship's about page, and for more stories, please visit hackernoon.com . A study demonstrates the feasibility of nanotargeting on LinkedIn, bypassing audience size restrictions and achieving successful campaigns by employing JavaScript code to reactivate campaign launch buttons, employing various targeting strategies, and verifying success through campaign metrics and user interaction.…

1
Data Science Interview Question: Creating ROC & Precision Recall Curves From Scratch 8:59

1 year پیش8:59

8:59

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-interview-question-creating-roc-and-precision-recall-curves-from-scratch . This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #data-science-interview , #precision-and-recall , #precision-recall-curves , #roc-data-science , #data-analysis , #data-science-job-questions , #hackernoon-top-story , and more. This story was written by: @varunnakra1 . Learn more about this writer by checking @varunnakra1's about page, and for more stories, please visit hackernoon.com . This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. For the purposes of this story, I will assume that readers are aware of the meaning and the calculations behind these metrics and what they represent and how are they interpreted. We start with importing the necessary libraries (we import math as well because that module is used in calculations)…

Data Science Tech Brief By HackerNoon

1
Why Should Companies Outsource Data Processing? 6:05

1 year پیش6:05

6:05

This story was originally published on HackerNoon at: https://hackernoon.com/why-should-companies-outsource-data-processing . Data processing outsourcing boosts efficiency, reduces costs, and enhances decision-making, helping businesses manage and leverage vast data effectively. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data , #data-processing , #data-outsourcing , #data-mangagement , #data-security , #data-cost-reduction , #data-efficiency , #data-science , and more. This story was written by: @rayanpotterr . Learn more about this writer by checking @rayanpotterr's about page, and for more stories, please visit hackernoon.com . Data processing is an essential business process and it consists of activities like order processing, form processing, compilation of mailing lists, and processing of different organizational and business information. Data processing outsourcing also offers a two-fold benefit i.e. low operational expenses and increased operational efficiency. It also helps in enhancing data quality, obtaining insights quicker to make well-informed and timely business decisions.…

Data Science Tech Brief By HackerNoon

1
The Role of Big Data in Developing New Medicines 6:30

1 year پیش6:30

6:30

This story was originally published on HackerNoon at: https://hackernoon.com/the-role-of-big-data-in-developing-new-medicines . Drug development is one of the most crucial — and time-consuming — processes in medicine. Here's how big data can help. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #big-data , #drug-discovery , #medicine , #drug-development , #artificial-intelligence , #healthcare , #pharmaceutical , #hackernoon-top-story , and more. This story was written by: @zacamos . Learn more about this writer by checking @zacamos's about page, and for more stories, please visit hackernoon.com . Developing a new medicine takes an average of 12 years, but big data can improve every stage of the process. It helps fuel AI drug discovery, identify underserved needs, streamline clinical trials, and monitor for potential issues.…

Data Science Tech Brief By HackerNoon

1
Building CI Pipeline with Databricks Asset Bundle and GitLab 10:59

1 year پیش10:59

10:59

This story was originally published on HackerNoon at: https://hackernoon.com/building-ci-pipeline-with-databricks-asset-bundle-and-gitlab . Databricks Asset Bundle streamlines the development of complex data, analytics, and ML projects for the Databricks platform. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #databricks , #gitlab , #devops , #mlops-platforms , #databricks-asset-bundles , #databricks-gui , #how-to-build-a-ci-pipeline , #hackernoon-top-story , and more. This story was written by: @neshom . Learn more about this writer by checking @neshom's about page, and for more stories, please visit hackernoon.com . In the previous blog, I showed you how to build a CI pipeline using Databricks CLI eXtensions and GitLab. In this post, I will show you how to achieve the same objective with the latest and recommended Databricks deployment framework, Databricks Asset Bundles.…

Data Science Tech Brief By HackerNoon

1
How I'm Building an AI for Analytics Service 7:12

1 year پیش7:12

7:12

This story was originally published on HackerNoon at: https://hackernoon.com/how-im-building-an-ai-for-analytics-service . In this article I want to share my experience with developing an AI service for a web analytics platform called Swetrix. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #ai , #analytics , #website-traffic , #software-architecture , #machine-learning , #predictive-analytics , #hackernoon-top-story , and more. This story was written by: @pro1code1hack . Learn more about this writer by checking @pro1code1hack's about page, and for more stories, please visit hackernoon.com . In this article I want to share my experience with developing an AI service for a web analytics platform, called Swetrix. My aim was to develop a machine learning model that would predict future website traffic based on the data displayed on the following screenshot. The end goal is to have a clear vision for the customer of what traffic will appear on their website in the future.…

Data Science Tech Brief By HackerNoon

1
Real-Time Anomaly Detection in Underwater Gliders: Experimental Evaluation 10:13

1 year پیش10:13

10:13

This story was originally published on HackerNoon at: https://hackernoon.com/real-time-anomaly-detection-in-underwater-gliders-experimental-evaluation . This paper presents a real-time anomaly detection algorithm to enhance underwater glider safety using datasets from actual deployments. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #machine-learning , #underwater-gliders , #anomaly-detection , #oceanography , #glider-navigation , #ocean-data , #marine-robotics , and more. This story was written by: @oceanography . Learn more about this writer by checking @oceanography's about page, and for more stories, please visit hackernoon.com . We apply the anomaly detection algorithm to four glider deployments across the coastal ocean of Florida and Georgia, USA. For evaluation, the anomaly detected by the algorithm is cross-validated by high-resolution glider DBD data and pilot notes. We simulate the online detection process on SBD and compare the result with that detected from DBD.…

Data Science Tech Brief By HackerNoon

1
Real-Time Anomaly Detection in Underwater Gliders: Abstract and Intro 7:22

1 year پیش7:22

7:22

This story was originally published on HackerNoon at: https://hackernoon.com/real-time-anomaly-detection-in-underwater-gliders-abstract-and-intro . This paper presents a real-time anomaly detection algorithm to enhance underwater glider safety, using datasets from actual deployments. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #machine-learning , #underwater-gliders , #anomaly-detection , #oceanography , #glider-navigation , #ocean-data , #marine-robotics , and more. This story was written by: @oceanography . Learn more about this writer by checking @oceanography's about page, and for more stories, please visit hackernoon.com . Underwater gliders are widely used in oceanography for a range of applications. However, unpredictable events like shark strikes or remora attachments can lead to abnormal glider behavior or even loss of the instrument. This paper employs an anomaly detection algorithm to assess operational conditions of underwater gliders in the real-world ocean environment. Prompt alerts are provided to glider pilots upon detecting any anomaly.…

Data Science Tech Brief By HackerNoon

1
The Power of Universal Semantic Layers: Insights from Cube Co-founder Artyom Keydunov 9:37

1 year پیش9:37

9:37

This story was originally published on HackerNoon at: https://hackernoon.com/the-power-of-universal-semantic-layers-insights-from-cube-co-founder-artyom-keydunov . What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for? Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #analytics , #business-intelligence , #data-modeling , #data-integration , #knowledge-graph , #universal-semantic-layer , #data-visualization , #data-warehouses , and more. This story was written by: @linked_do . Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com . What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for?…

Data Science Tech Brief By HackerNoon

1
A Comprehensive Guide to Building DolphinScheduler 3.2.0 Production-Grade Cluster Deployment 9:04

1 year پیش9:04

9:04

This story was originally published on HackerNoon at: https://hackernoon.com/a-comprehensive-guide-to-building-dolphinscheduler-320-production-grade-cluster-deployment . In version 3.2.0, DolphinScheduler introduces a series of new features and improvements, significantly enhancing its stability. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #workflow-management , #opensource , #programming , #dolphinscheduler , #apache-dolphinscheduler , #big-data , #cluster-deployment , and more. This story was written by: @zhoujieguang . Learn more about this writer by checking @zhoujieguang's about page, and for more stories, please visit hackernoon.com . DolphinScheduler provides powerful workflow management and scheduling capabilities for data engineers by simplifying complex task dependencies. In version 3.2.0, DolphinScheduler introduces a series of new features and improvements, significantly enhancing its stability and availability in production environments.…

Data Science Tech Brief By HackerNoon

1
Why Monitoring a Distributed Database is More Complex Than You Might Expect 20:18

1 year پیش20:18

20:18

This story was originally published on HackerNoon at: https://hackernoon.com/why-monitoring-a-distributed-database-more-complex-than-you-might-expect . Why is monitoring a distributed database more complex than you might expect Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #distributed-databases , #opentelemetry , #monitor-distributed-databases , #apache-ignite , #monitoring-systems , #database-monitoring-challenges , #data-acquisition-models , #push-vs-pull-acquisition , and more. This story was written by: @ingvard . Learn more about this writer by checking @ingvard's about page, and for more stories, please visit hackernoon.com . In this article, we will dive into the complexities of monitoring distributed databases from the perspective of a monitoring system developer. I will try to cover the following topics: managing multiple nodes, network restrictions, and issues related to high throughput caused by a large number of metrics.…

Data Science Tech Brief By HackerNoon

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Outlier Detection: What You Need to Know 2:43

1 year پیش2:43

2:43

This story was originally published on HackerNoon at: https://hackernoon.com/outlier-detection-what-you-need-to-know . Decisions are usually based on the sample mean, which is very sensitive to outliers and can dramatically change the value. So, it is crucial to manage outliers Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #outlier-detection , #statistics , #python3 , #variance-reducing , #what-is-outlier-detection , #bootstrap , #problem-formulation , #data-analysis , and more. This story was written by: @nataliaogneva . Learn more about this writer by checking @nataliaogneva's about page, and for more stories, please visit hackernoon.com . Analysts often encounter outliers in data during their work. Decisions are usually based on the sample mean, which is very sensitive to outliers. It is crucial to manage outliers to make the correct decision. Let's consider several simple and fast approaches for working with unusual values.…

Data Science Tech Brief By HackerNoon

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Instrument Variables and AB Testing – Part 1 1:28

1 year پیش1:28

1:28

This story was originally published on HackerNoon at: https://hackernoon.com/instrument-variables-and-ab-testing-part-1 . This article explores the Mathematical details of least squares estimator in an unbiased and biased settings due to model specification errors. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #linear-regression , #ab-testing , #casual-analysis , #bias , #multicollinearity , #confounding , #instrument-variables , #instrument-variables-math , and more. This story was written by: @varunnakra1 . Learn more about this writer by checking @varunnakra1's about page, and for more stories, please visit hackernoon.com . This article explores the Mathematical details of least squares estimator in an unbiased and biased settings due to model specification errors.…

Data Science Tech Brief By HackerNoon

1
Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer 8:00

1 year پیش8:00

8:00

This story was originally published on HackerNoon at: https://hackernoon.com/using-arrow-flight-sql-protocol-in-apache-doris-21-for-super-fast-data-transfer . Apache Doris 2.1 just got a major speed boost with Arrow Flight SQL for up to 10x faster data transfers. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #database , #data-engineering , #pandas , #python , #apache-arrow , #big-data , #data , and more. This story was written by: @frankzzz . Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com . Apache Doris 2.1 supports Arrow Flight SQL protocol for reading data from Doris. It delivers tens-fold speedups compared to PyMySQL and Pandas.…

Data Science Tech Brief By HackerNoon

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Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory 5:47

1 year پیش5:47

5:47

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-for-portfolio-optimization-markowitz-mean-variance-theory . The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #asset-management , #modern-portfolio-theory , #portfolio-optimization , #markowtiz-mean-variance , #what-is-the-markowitz-theory , #portfolio-theory , #investment-portfolio-tips , and more. This story was written by: @kustarev . Learn more about this writer by checking @kustarev's about page, and for more stories, please visit hackernoon.com . An investment portfolio comprises various assets such as stocks and bonds. Every investor starts with a fixed investment capital and decides how much to invest in each asset. Data science techniques such as the Markowitz mean-variance theory help determine the optimal share allocation to build the optimal portfolio. The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level. It analyzes different financial assets and considers their rate of return and risk factors, given their historical trends. The rate of return is an approximation of how much profit the asset will generate over a given time period. The risk factor is quantified using the standard deviation of the asset value. A higher deviation represents a volatile asset and, hence, higher risk. The return and risk values are calculated for various portfolio combinations and are represented on the efficient frontier curve. The curve helps investors determine the highest returns against their selected risk.…

Data Science Tech Brief By HackerNoon

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10 Best Datasets for Time Series Analysis 8:23

1 year پیش8:23

8:23

This story was originally published on HackerNoon at: https://hackernoon.com/10-best-datasets-for-time-series-analysis . In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #datasets , #ai , #data-science , #data-analysis , #data-analytics , #data-visualization , #hackernoon-datasets , #machine-learning , and more. This story was written by: @datasets . Learn more about this writer by checking @datasets's about page, and for more stories, please visit hackernoon.com . Time series data is essentially a collection of data points organized in time. Time is frequently the independent variable, and the purpose is usually to forecast the future in time series. In this article, we will look at the *10 Best Datasets for Time Series Analysis,* in order to understand how a certain metric varies over time.…

Data Science Tech Brief By HackerNoon

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Understanding Scaling Law through Data Science Lenses 14:29

1 year پیش14:29

14:29

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-scaling-law-through-data-science-lenses . Despite the immense promise of LMs, initial endeavors to apply pre-trained LMs to downstream tasks have encountered significant challenges. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #scaling-law , #artificial-intelligence , #tokenizing-raw-text , #discrete-tokens , #embedding-vector , #token-embeddings , #power-laws , and more. This story was written by: @tianchengxu . Learn more about this writer by checking @tianchengxu's about page, and for more stories, please visit hackernoon.com . Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs to downstream tasks encountered significant challenges.…

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The New Data Engineering Landscape: DataOps, VectorOps, and LangChain

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The New Data Engineering Landscape: DataOps, VectorOps, and LangChain