In a hidden markov model, the markov chain is hidden, we can only observe outcome values. Therefore, additional concepts such as observed states and emission probabilities are explained.
Markov chains are a succession of random events. Using the example of chutes and ladders, concepts such as states, initial probability, and transition matrix are explained.