Question

Difference between discrete markov model and hidden markov model

Answer 1

Markov model is a state machine with the state changes being probabilities. In a hidden Markov model, you don't know the probabilities, but you know the outcomes.

For example, when you flip a coin, you can get the probabilities, but, if you couldn't see the flips and someone moves one of five fingers with each coin flip, you could take the finger movements and use a hidden Markov model to get the best guess of coin flips.