if there really is such a shortage of data scientists, etc, why isn't the US labor market responding? http://fortune.com/2017/02/08/h-1b-visa-donald-trump-startups-entrepreneurs/ … cc @bobpoekert
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(iv) data engineering, (v) forgetting trad stats + learning ML. and field not specialized yet, so
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at least a passing familiarity with each of these things is important. (I think? that's my read..)
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causal inference is optional and overkill for most applied things
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most data science is "throw a random forest at it"
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probably my microeconometrics bias showing. tho my old employer is all about causality these days afaik
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I think the syllabus for http://alex.smola.org/teaching/berkeley2012/ … is more or less right
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in 2017 there would be smth in there about neural nets & recommendation would be factorization machines
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interesting. this was my first ML course, will read up on factorization machines http://www.stat.washington.edu/courses/stat535/fall14/ …
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