Data Elixir - Data Elixir - Issue 378
ISSUE 378 · March 15, 2022In this week's issue, Roni Kobrosly joins Data Elixir to curate the first of a new series called "Invited Topics." Roni is the head of data science at a Health Tech company in D.C. and he's also the creator of a collection of tools to perform causal inference analysis. In this first Invited Topics section, Roni curates a collection of key links for getting started in causal inference. This week is Foundations. Coming up will be a selection of tools, methods, and more from around the web. If you like this idea or you might be interested in curating your own section of Data Elixir, let me know! -Lon TrendsSnowflake goes shopping, and buys the store.It may not seem like much now, but Snowflake's recent acquisition of Streamlit could become a very big deal. We're not there yet but as Benn Stancil argues here, the Streamlit acquisition points to the future of data apps, where they'll live on the data stack, and what's needed to get there. Great post. Sponsored LinkDelivering Accurate Ground Truth Data for AI/ML Models30+ years experience working with leading data-centric AI/ML models. With 3,500+ global SMEs and experience with any data type, we accelerate operations and advance models in record time. Scale your AI with your model's new secret weapon, Innodata. Tutorials, Projects & Opinions"Just get some labelled data"Nice introduction to the art of data labelling and how it's more complex than you might think. Fundamentally, data labelling encodes key decisions about the domain and the problems you're trying to solve. Starting with an "ideal" case, here's how it gets complicated. Jupyter EverywhereThe latest version of JupyterLite lets you easily embed a console, a notebook, or a fully-fledged IDE on any web page. This post walks through how it works with lots of examples along the way. CS 329S: Machine Learning Systems DesignChip Huyen's course on Machine Learning Systems Design is a solid introduction to developing real-world machine learning systems. There aren't videos here but it's a great set of lecture notes and readings. Good-Bye Digital Natives. Hello AI Natives.TikTok understands what AI Natives want. Do you? AI is fundamentally changing the rules of business & creating a new consumer class. Learn about AI Natives & how you can win their loyalty. Download a free copy of Prolego’s ‘AI Natives Among Us’ research report. Invited Topics: Causal Inference, Part 1 (Foundations)Causal Inference: What If?Miguel A. Hernán and James Robins are causal inference superstars within the public health world. Part 1 of this book ("Causal inference without models") is not short but if you want to learn about making causal inferences from data, this provides one of the best introductions to the topic you can find on the web. It assumes zero prior knowledge of modeling or public health, and is quite approachable. Free to download. Causality for Machine LearningThis report by the fabulous Fast Forward Labs may sound intimidating but chapters one and two provide a math-less introduction to a number of critical topics in causal inference. You'll learn about causal graphs (a simple way to visualize causal relationships), the concept of the "causal hierarchy", and counterfactuals. Thinking Clearly About Correlations and CausationJulia Rohrer provides a slightly deeper but still math-less explanation of causal graphs. Causal Inference Challenges in Industry: |
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Data Elixir - Issue 377
Tuesday, March 8, 2022
Embrace complexity. ML for design. People analytics. MLOps is a mess. Algorithms for Decision Making. The evolving AI startup.
Data Elixir - Issue 376
Tuesday, March 1, 2022
Active learning. Notebooks in production. Interpretable models. Probabilistic ML: Advanced Topics.
Data Elixir - Issue 375
Tuesday, February 22, 2022
Data diff algorithms. Unbundling the data platform. Changing jobs? Watch for these 🚩🚩. Interactive canvas for Jupyter. Finding missing evidence.
Data Elixir - Issue 374
Tuesday, February 15, 2022
Intro to design-based causal inference. Easy EDA for Pandas. Modeling with encrypted data. Data distribution shifts.
Data Elixir - Issue 373
Tuesday, February 8, 2022
How data businesses work. Salaries dropping. ML monitoring research challenges. Python setup for DS. State of Data Viz.
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