Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian networks

Markov models are a powerful predictive technique used to model stochastic systems using time-series data. They are centered around the fundamental property of “memorylessness”, stating that the outcome of a problem depends only on the current state of the system - historical data must be ignored.