A stochastic model describing a sequence of possible events where the probability of each event depends only on the state attained in the previous event. This memoryless property is known as the Markov property. Markov chains are used in various domains like natural language processing, statistical mechanics, and reinforcement learning to model systems that evolve over time.
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