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I have worked on multiple Google projects and tools, ranging from spreadsheets to Google Data Studio. Basis familiarity with the Google systems, I have applied to endless jobs in the organisation. However, I have no idea why is it sooooo difficult to even get an HR call for the screening.
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Thoughts on SQ considering the CEO cashed in?
What’s everyone doing in this heat??
Reposting in this bowl for better reach

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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
What is a data lake in basic terms?
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