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Comment on Show HN: Markov chains explained visuallyparent

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To understand an HMM: Start with a MM with two states. In state "A" we always observe "X" in state "B" we always observe "Y". That's a basic MM. Now lets change it to a HMM. Now, in state "A" we observe "X" 90% of the time and "Y" 10% of the time, and in state B we observe "Y" 90% of the time and "X" 10%. The observations don't tell us exactly what state we're in. The state is "hidden." We still get a clue about the state, but there is some uncertainty.

This is an excellent explanation, thanks!

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