Hidden Markov Models 12: the Baum-Welch algorithm

A sequence of videos in which Prof. Patterson describes the Hidden Markov Model, starting with the Markov Model and proceeding to the 3 key questions for HMMs. A Hidden Markov Model is a machine learning model for predicting sequences of states from indirect observations.

In this video, he describes the Baum-Welch algorithm, a method for optimizing the parameters of an HMM in light of observations.

Видео Hidden Markov Models 12: the Baum-Welch algorithm канала djp3