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take job with long commute or stay at b4?
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Hi fishes, I have only 4 days left in notice period. Please guide me which one to join in terms of WLB, Job Security, Long term stay. Year of experience 10 years
1. Schneider electric
2. Harman international
3. Nagarro
4. Fidelity National financial
Harman Schneider Electric Nagarro Fidelity national financial india
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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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There's a problem with your ask. It's hard to divorce model interpretation from stats theory, which I assume is included in your idea of technical content. You often (always?) need to understand the assumptions made by a predictive or even just a data model at the outset. Else it's garbage in garbage out. That often requires understanding the algorithm, statistics, schema, etc. In other words, you can't dodge implementation details.
The least technical class archetype in the data space is visualization. These classes have some emphasis on storytelling, a minimal description of what drilling down means in exploratory analysis, and discuss the typical data type differences. But that limits you to just a fraction of what goes into BI, and these classes are still about making visuals at the end of the day--which involves code.