Yesterday someone (ML, CS PhD, Stanford) said he would not hire a person who is online educated in Machine Learning. Who here agrees and who thinks differently?
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I can tell you this much as somebody who has been involved in hiring quite a few engineers- the correlation between schooling and performance is pretty weak relative to what seems to be expected. Which is why I rely on actual submitted code to evaluate.
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Basically what schooling doesn’t provide so much of are the key personality traits that drive actual successful problem solving. So no, I wouldn’t rule out the one that doesn’t have the degree- just look at what they actually can do instead.
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There’s a CS prof at Stanford who is often quoted as saying to every student that “a little bit of slope makes up for a lot of y intercept” Even if schooling provides you with big gains across all important areas of competency (it doesn’t) you can still get out-sloped
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Dunno never really felt imposter syndrome and didn't take any ML course online or offline except one in astrophysics detecting pulsars. Learnt ML by building image search ML, self driving cars, winning a technical Emmy for recommender system all with no ML education lol.
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I always think about the time I was 15 and told a PhD in CS to please not stuff multiple unrelated values in the same database field. I didn't learn the formal definition of "first normal form" until years later...
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I was pre-med in college. I learned to be insanely great at cramming knowledge into my head and regurgitating it on demand, forgetting it a week later. Not everyone is good at that, and some of them make fantastic engineers who suck at traditional engineering interviews.
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Having real knowledge of something is different than information. The former can be acquired many ways and is retained for future use. The latter is the equivalent of our system of education/testing to evaluate people. Not the best method.
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