21 - Logistic regression
19:19
22 - Generative vs discriminative classifiers
30:50
16 - EM examples
14:04
20 - Gaussian discriminant analysis
1:01:08
CS549 - Logistic regression model
18:53
4 - Bayesian ML
14:54
(ML 15.5) Logistic regression (binary) - computing the gradient
28:47
18 - Decision theory
20:25