Why do we have people with PhDs in CS working on machine learning when it's highly mathematical and statistical?
Shouldn't people with PhDs in stats and pure/applied math mostly be working on this stuff?
Won't we reach a point where the mathematics becomes so complex that CS PhDs won't be able to do any more meaningful research? Won't we eventually mostly need people with the foundational knowledge in e.g. differential geometry to be working on things like manifold learning?
t. salty math major who got shut out of studying cool AI shit because he never took any CS courses in undergrad
Shouldn't people with PhDs in stats and pure/applied math mostly be working on this stuff?
Won't we reach a point where the mathematics becomes so complex that CS PhDs won't be able to do any more meaningful research? Won't we eventually mostly need people with the foundational knowledge in e.g. differential geometry to be working on things like manifold learning?
t. salty math major who got shut out of studying cool AI shit because he never took any CS courses in undergrad
