4 ms·
"This probably needs to be clarified a bit to say that Ng's course skipped this." That seems weird, considering Bayesian learning/methodologies are a big corne
by icelancer 14y ago
"This probably needs to be clarified a bit to say that Ng's course skipped this."
That seems weird, considering Bayesian learning/methodologies are a big cornerstone of ML.
- Evbn 14y agoHow much can you expect someone to learn in 10 1-hour sessions, starting from a college freshman background?
- icelancer 14y agoA fair amount; I've seen some of his work and I think it's pretty good. I don't really like Octave (his program of choice), but I understand why he used it. I would have gone with something higher-level, since a lot of decent tools are out there that add a layer of abstraction to ML. Anyway, I consider Bayesian logic a cornerstone of ML modeling. It's not so much the content that needs to be memorized/understood as much as it is the way of thinking that Bayesian methodologies present over frequentist statistics. Still, I'm sure it's a good class.