Hidden Markov Model
Hidden Markov Models (HMMs) are sophisticated statistical models for systems where underlying states are unobservable. Widely used in speech recognition, bioinformatics, and finance, HMMs interpret hidden processes and are powered by algorithms like Viterbi and Baum-Welch.
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6 min read