— In the News —
This essay by Cathy O'Neil is adapted from her upcoming book, Weapons of Math Destruction. The essay is about big data and employment but the issues are far more reaching.
It's not just external forces that are making data-based decisions that affect our lives. In this essay, the historian Yuval Noah Harari argues that Dataism is diminishing our ability to listen to ourselves and "free will" may be slipping away.
Evolution of mathematics traced using unusually comprehensive genealogy database.
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— Tools and Techniques —
Most people learn how to build classifiers with datasets that are easy to work with. But real data is often noisy and imbalanced. This is an excellent discussion of the issues and how to approach them.
Dave Beazley is the author of the Python Essential Reference and the Python Cookbook. This keynote from the recent PyData Chicago conference is a fantastic overview of Python's superpowers.
This OpenAI post explores ways to approach a typical deep learning use-case.
Zstandard is a fast lossless compression algorithm, targeting real-time compression scenarios. This is a great overview of various compression schemes, their use cases, and why Zstandard is important.
— Resources —
Kaggle Datasets empowers people to build communities around datasets. Download, upload, share results, share code, post visualizations, ask questions, etc. This is an awesome project that's been evolving quickly.
Solid list of data science and machine learning podcasts with descriptions and links to each.
— Data Viz —
Nice collection of code snippets and tips for building Shiny apps.