CS480/680 Lecture 7: Mixture of Gaussians
1:34:44
CS480/680 Lecture 8: Logistic regression and generalized linear models
1:16:14
CS480/680 Lecture 11: Kernel Methods
17:11
Clustering (4): Gaussian Mixture Models and EM
1:06:04
Probabilistic ML — Lecture 22 — Mixture Models
1:29:21
CS480/680 Lecture 10: Multi-layer neural networks and backpropagation
15:56
Gaussian Mixture Model | Object Tracking
1:16:23
CS480/680 Lecture 9: Perceptrons and single layer neural nets
1:01:31