Lecture 13 | Machine Learning (Stanford)

[MegaCrazyTaxiDriver]

I'm guessing the noise that we allow for each point, would make factor analysis more suitable in signal processing.

[mehdigoudarzi]

he's practically reading from those rusty papers ... reminds of some of my boring professors (sleeping pills). 

[einsteinwallah2]

not good

[ictunsw2113]

what he is doing? Can't he solve without papers.

[kapildalwani]

EM algorithm, mixture of Gaussian and Mixture of Naives Bayes. Finally factor analysis.

[mingz]

cool!

[sanfo0or]

if only he puts some problem examples to demonstrate the algorithms, it'll be better.

[leonoel]

@sanfo0or Usually to exemplify those algorithms you need an extra class, and a huge number of calculations, try searching for some articles online