Probability, Machine Learning, Data Science.
(like Gaussian Mixture Models), the EM algorithm iteratively estimates the parameters of the underlying distributions (often modeled with PDFs) and updates the cluster assignments. Hidden Markov Models (HMMs): Widely used in time series and sequential data analysis (like speech recognition), HMMs