Markov Chain

Markov Chain is a mathematical model that describes a sequence of events where the probability of each event depends only on the state attained in the previous event. In other words, it is a stochastic process that satisfies the Markov property. Markov Chains are widely used in various fields, including physics, chemistry, economics, and computer science. In Data Science, Markov Chains are used for modeling and predicting sequential data, such as natural language processing, speech recognition, and image processing. They are also used in recommendation systems, where the next item to be recommended depends on the previous items that the user has interacted with.
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