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Ok last one for real

Anyone looking for a workout partner in Houston?
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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
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.
What is a data lake in basic terms?
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Terrifying that the answers are all right but also wrong.
It's 20% better and 10 percentage points (ppt) more
Yea, I’ve typically reported this kind of change as basis points (so this would be 1000bps) but I
Just amazed out how inconsistently I see this kind of thing reported
It’s a 20% improvement, but a 10% net change? Semantics. Add a footnote
Your conversion rate went from 50 to 60 which constitutes a 20% increase in conversions. Both metrics are important
I am likely misunderstanding, but isn't rate calculated as frequency/time? Not sure how a rate can be 50%. Would love commenting!
Not necessarily. For example, currency conversion rate refers to a ratio at a fixed point in time.
20% increase in the underlying, 10% increase in the metric (the rate). Here, 20% increase in conversions, 10% increase in the conversion rate.