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background | |
outline | |
data science | |
practices (managerial) | |
reframing questions as ML | |
better wrong than "nice" | |
better science: |
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there's probably more consensus building in academia than in | |
real world. particularly since some of the participants are | |
tenured, you have to get along with them for years, where in | |
real world you can just fire them or they'll just find a new | |
job. tenure makes the market for faculty extremely illiquid. |
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some relationship rules i believe in | |
- don't call a meeting w/o an agenda | |
- don't go to a meeting w/o an agenda (h/t aric hagberg) | |
- don't call a meeting w/o making clear to everyone what you hope to gain, and be honest. | |
- don't go to a meeting w/o at least a hypothesis as to what is the interest of everyone attending |
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