1:07:24

CS480/680 Lecture 22: Ensemble learning (bagging and boosting)

38:58

CS480/680 Lecture 20: Autoencoders

1:05:23

CS480/680 Lecture 23: Normalizing flows (Priyank Jaini)

1:21:56

Lecture 21: Variational Autoencoders

1:01:31

CS480/680 Lecture 17: Hidden Markov Models

1:40:41

CS480/680 Lecture 18: Recurrent and recursive neural networks

1:11:15

CS480/680 Lecture 12: Gaussian Processes

1:14:55

CS480/680 Lecture 24: Gradient boosting, bagging, decision forests