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Anyone heard from Fragomen?
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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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I think it varies so much across industries and companies that it probably exists on a normal distribution. My F500 has people with my title who just learned you can write custom SQL to pull into a PowerBI dashboard, and then there’s me who’s trying to get people to use git and version control. Might need to bounce because i’m in the minority 😅
Most of this is culture dependent. Before meta/fb my teams had to wireframe, write tests, git, automate data validation, etc.
Now that I'm an ic I don't do any of that because no one makes me do it and my work generally isn't going to production.