Markov Chains, Data Science.
Baum-Welch algorithm, also known as the Forward-Backward algorithm, is used to train the parameters of an HMM model from observed data when the underlying states are not known. It is an iterative algorithm that alternates between the expectation (E) step and the maximization (M) step. In the