Hidden Markov Models, Naturallanguageprocessing, Machine Learning, Deep Learning, Artificial Intelligence.
probabilities) using the Baum-Welch update equations. This is where the model learns from the observed data to adjust its parameters and better fit the data. The E-step and M-step are repeated until the model parameters converge, meaning they stop changing significantly beyond a certain threshold.