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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
Has anyone else begun to resent data science?
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What type of work?
Data and analytics - forensic and litigation consulting. Lots of python, SQL, excel with some opps to do ML
Must require Citizen? What about H1-B sponsorship?
This
Remote positions ?