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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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Hey guy, I have this book out. Wondering if you could help me spread the word. It teaches you how to write KPI’s for an IDB perspective. I am in the market to switch career back to my original so I am open to assist especially non-profits address their data issues. Anyway guys if interested send me a DM. https://www.amazon.com/Key-Performance-Indicator-Development-Guide/dp/B0B5K9W5JC

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NDLC in April
Stellar lineup on that one