Data Elixir - Data Elixir - Issue 442
ISSUE 442 · June 27, 2023Note that Data Elixir is taking next week off and will be back in your Inbox in two weeks. If you're in the U.S., have a great Fourth! InsightThe economic potential of generative AI: The next productivity frontierNew tools, articles and posts about generative AI seem to be everywhere these days but ultimately, the era of generative AI is just beginning. This report from McKinsey explores this burgeoning new space, including business opportunities, impacts on industry, implications for workers, and big-picture societal considerations. Sponsored LinkDeepchecks Revolutionizes ML Monitoring with Open-Source Release!Deepchecks, known for their popular open-source test suites (650,000+ downloads), now introduces their open-source ML monitoring solution. Experience the future of collaborative AI/ML validation and empower your models! Posts & TutorialsLLM Powered Autonomous AgentsGreat introduction to building autonomous agents using LLMs. In an LLM-powered autonomous agent system, the LLM functions as the agent’s brain and is complemented by components for planning, memory, and tool use. The post explores strategies, methodologies, and algorithms for each component with lots of references along the way. Order Constraints in Bayes ModelsIn Bayesian modeling, order constraints refer to restrictions imposed on the relationships between a model’s parameters. These constraints help to incorporate prior knowledge and assumptions into the model. This tutorial walks through a practical example and shows how order constraints are useful and how to use them using the {brms} package. Get better at Data Science every weekJoin 25,000+ aspiring data scientists and receive actionable Python & Data Science tips every Tuesday. Sign up for free! Tools & CodeMosaicMosaic is an open-source framework for linking data visualizations, tables, input widgets, and other data-driven components, while leveraging a database for scalable processing. Use it to interactively explore massive datasets, build data-driven web apps, or interact with data directly in Jupyter notebooks. WizMap - Interactive Viz for ML EmbeddingsWizMap is an interactive visualization tool for exploring embeddings. It makes it easy to explore millions of points and get insights from multi-resolution summaries. Follow the links for a live demo and paper. aeonaeon is an open source toolkit for learning from time series compatible with scikit-learn. It provides access to the very latest algorithms for time series machine learning, in addition to a range of classical techniques for learning tasks such as forecasting and classification. Resourcespolars cookbookThis cookbook is a fork of the popular pandas-cookbook and has been modified to use the polars library instead of pandas. It uses real-world examples with "all the bugs and weirdness that entails." ML system designHow do companies like Netflix, Airbnb, and Doordash apply machine learning to improve their products and processes? In this collection of 200 case studies, 64 companies share practical use-cases and learnings from their machine learning systems. Was this email forwarded to you? Sign up here >> |
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Data Elixir - Issue 441
Tuesday, June 20, 2023
Julia programming for ML. Spatial statistics. Raincloud plots. Artifact corrections for effect sizes. Perils of faking data in Excel. Private LLMs for DB interactions.
Data Elixir - Issue 440
Tuesday, June 13, 2023
NFL Analytics. Sequential testing. Data + Music. Managing generative AI risks. FinGPT: open-source LLM for finance. Data exploration toolkit.
Data Elixir - Issue 439
Monday, June 12, 2023
Data podcasts. What are embeddings? Road trip maps. Dependency management. The {marginaleffects} book. A first course in causal inference.
Data Elixir - Issue 438
Tuesday, May 30, 2023
State of GPT. Interview questions and answers. Hierarchical vs rectangular data. Intro to Vega-Lite.
Data Elixir - Issue 437
Tuesday, May 23, 2023
How db indexes work. ML vs climate change. Word salad. Guide to MLOps. Intro to data viz for the web.
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