Hidden Markov Models, Naturallanguageprocessing, Machine Learning, Deep Learning, Artificial Intelligence.
Part 11: Continuing our Discussion on the Learning Problem and the Baum-Welch Algorithm 3 — Maximization Step (M): It involves updating the parameters of the Hidden Markov Model (HMM) to maximize the likelihood of the observed data. This is done based on the statistics computed in the Expectation