Data Elixir - Data Elixir - Issue 377
ISSUE 377 · March 8, 2022TrendsMLOps Is a Mess But That's to be ExpectedWith hundreds of tools and confused standards and practices, MLOps today is a mess. But it's early days for machine learning adoption and as the transformation continues over the coming years, expect the dust to settle while ML-driven value becomes more widespread. Here's an insightful look at how that may play out. Sponsored LinkBuild spreadsheet features in minutes, not monthsAPI Spreadsheets is a suite of developer tools that lets you build complex spreadsheet capabilities in your applications. Build a spreadsheet importer, save data to Google Sheets, set up auto reporting for your team, and much more. Try out the tools for free at www.apispreadsheets.com Tutorials, Projects & OpinionsMachine learning for color designHuemint is a web application that uses machine learning to generate colors for graphic design. This is a fantastic post that explores why machine learning is a good fit for the use-case and how it works. Read the post and play with the app. This is clearly a labor of love. Work like an analystBenn Stancil's take on the recent discussions about whether the data stack is becoming "bundled" or "unbundled" is characteristically both comical and insightful. What's happening in the data stack is more like the creation of a big stew and "where we're going, we still need roads." How the AI Startup Experience Has EvolvedRichard Socher discusses advances in NLP, and how the experience for AI startups has changed since the early days of deep learning. Deploy a Data Stack 3x Faster w/o Data EngModern Treasury did it — see how your team can do the same Code & ToolsNotebookerNotebooker is a web application which can execute and parametrize Jupyter Notebooks as soon as they've been committed to git. The results are searchable via the web interface, essentially turning your notebook into a production-style web-based report in a few clicks. ResourcesHandbook of Graphs & Networks in People AnalyticsIn this second book in a series, Keith McNulty explores graphs and network analysis, especially as they relate to people analytics. Few people really know how to do network analysis. This book aims to change that. Free to read online. Algorithms for Decision MakingThis new book provides a broad introduction to algorithms for decision making under uncertainty. It covers a wide variety of topics related to decision making and introduces the underlying mathematical problems and the algorithms for solving them. It's not an introductory book but the beginning sections offer a nice overview. Free to download. Techmeme: Essential tech news of the moment.Techmeme is an up-to-the-minute executive summary of trending news and commentary for the tech industry. This is my go-to site for keeping up with tech trends and breaking news. Read it online or subscribe to their free daily newsletter for the the best stories from the past day. Sign up here >> Data VisualizationStop aggregating away the signal in your dataAggregation is standard practice for analyzing time series data but when data is simplified through aggregation, it's easy to lose the signal and the context you need for making sense of the data. This is a great deep dive that shows the issues and offers effective strategies for different use-cases. TLDR: Embrace complexity! Plot Overview for Matplotlib UsersThis tutorial shows how to make common Matplotlib charts with Observable Plot. Covers a wide variety of basic and advanced plots, including interactive histograms, scatterplots, color maps, and more. To find specific content from prior issues or to research topics, check out the searchable Archives on Data Elixir's Search Page >> |
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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.
Data Elixir - Issue 372
Tuesday, February 1, 2022
Predicting experiments. 🟩🟩🟩🟩🟩. Intro to probabilistic programming. Future of the data warehouse. Bad stat critiques.
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