that's what I was wondering -- is the constraint maybe just IQ / STEM affinity, not university credentials?
-
-
causal inference is optional and overkill for most applied things
-
most data science is "throw a random forest at it"
-
probably my microeconometrics bias showing. tho my old employer is all about causality these days afaik
-
I think the syllabus for http://alex.smola.org/teaching/berkeley2012/ … is more or less right
-
in 2017 there would be smth in there about neural nets & recommendation would be factorization machines
-
interesting. this was my first ML course, will read up on factorization machines http://www.stat.washington.edu/courses/stat535/fall14/ …
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.