Slide at https://ubc-cs.github.io/cpsc340/lectures/L23.pdf?raw=1
Camera operated by Tanner Johnson. Content based on original course materials created by Mark Schmidt.
0:00 generative vs. discriminative models
1:25 logistic regression revisited
2:35 likelihood
10:40 maximum likelihood estimation
16:30 logistic regression as MLE
21:45 least squares as MLE
27:55 loss functions and MLE
33:40 maximum a posteriori
36:40 MAP and regularization
46:15 summary
