22 - Generative vs discriminative classifiers
![](https://i.ytimg.com/vi/TTFzSnk8b5s/mqdefault.jpg)
9:05
23 - Featurization
![](https://i.ytimg.com/vi/4jY9PC1RS3s/mqdefault.jpg)
30:50
16 - EM examples
![](https://i.ytimg.com/vi/Buo8oZbJ6VU/mqdefault.jpg)
28:47
18 - Decision theory
![](https://i.ytimg.com/vi/cmYQNhv5xUw/mqdefault.jpg)
14:14
Difference between generative and discriminative models.
![](https://i.ytimg.com/vi/6lveWQ0vauk/mqdefault.jpg)
18:53
4 - Bayesian ML
![](https://i.ytimg.com/vi/E9ycNAb8eMU/mqdefault.jpg)
20:25
15.1 - EM algorithm intro
![](https://i.ytimg.com/vi/ErnWZxJovaM/mqdefault.jpg)
1:09:58
MIT Introduction to Deep Learning | 6.S191
![](https://i.ytimg.com/vi/RG2IK8oRZNA/mqdefault.jpg)
7:47:08