8:49

Gibbs Sampling : Data Science Concepts

20:45

Maximum Likelihood : Data Science Concepts

10:39

Expectation Maximization: how it works

30:49

The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)

13:52

Hidden Markov Model : Data Science Concepts

17:11

Clustering (4): Gaussian Mixture Models and EM

15:07

Gaussian Mixture Model

1:20:31

Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)