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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?
Got messaged by a C3 . ai recruiter. Read that wlb is bad and that the interview process is absurdly long, but the Glassdoor reviews are 4.2 and can't find actual hours worked posted by anyone. How's the culture really? I'd be aiming for DS consulting, something more functional but with DS/ML concepts as my differentiator.
C3.ai, Inc.
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Yes. With pivot tables and filters. It was not my first choice but it was....fine.
Agree with DS1. It’s doable but not as pretty as Tableau or PowerBI. A combination of Pivot tables, slicers, and Pivot charts can accomplish a simple dashboard.
I’ve seen it, quite sophisticated, and slow.
Yep. Client didn’t want to pay for tableau license so had to use excel. Some CSV files were created with some SAS code, and the ETL with VBA. Dashboard created with pivot charts and slicers
How'd you guys end up doing that vs using a tool for the job, DS1 and P1?
Because I didn't have a platform available, like Tableau, where I could share things with my client. But everyone had Excel.
Yeah. The client gave us no real tech tools because we weren’t “IT”. I hacked something together with Sharepoint lists, Access (manually importing a csv extract that their IT mailed me when I gave them a query), and Excel.
A VBA script did all of the needed ETL, sourcing from sharepoint and access, and forced the formulas to refresh the “front end” (the only unhidden tab in the excel).
It was an awful hack of a thing, but it worked.