Markov Chains, Data Science.
all states are observable, in an HMM, the states are hidden or unobserved, and only the emissions or observations associated with each state are observable. The goal is to maximizes the sequence’s probability for the hidden states given the data we observe. The same assumptions in a Markov Chain