Hidden Markov Models, Markov Chains.
hidden states influence the sequence of observable events, and HMMs help predict these hidden states based on the observed data. So in short, HMMs are used to model a system and predict a system’s hidden states based on observable events. Typically the hidden states and the transitions of the HMM