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What is Understanding Markov Chains Basics about?
This document discusses Markov Chains, which are stochastic processes where the future state depends only on the present state and not on the past states. It introduces key concepts such as the transition matrix, which summarizes the probabilities of moving between states, and the Markov property that defines the behavior of these chains. The document also provides examples and definitions to illustrate these concepts.
- Author
- sorayasalsabilaputeri2004
- Language
- EN