Markov model
A hidden Markov model is a type of Markov chain. This is very similar to a basic Markov model, but when the state is only partially observable or noisily observable. In other words, past states are related to the state of the system, but they don't tell us enough to perfectly know the state we are trying to predict. This has used commonly. For example, it helps computers automatically turn speech audio into words.