What is Hidden in the Hidden Markov Models? – Acing AI – Medium

Hidden Markov Models or HMMs are the most common models used for dealing with temporal Data. They also frequently come up in different ways in a Data Science Interview usually without the word HMM written over it. In such a scenario it is necessary to discern the problem as an HMM problem by knowing characteristics of HMMs. In the Hidden Markov Model we are constructing an inference model based on the assumptions of a Markov process. It means that the future state is related to the immediately previous state and not the states before that.