A Markov model is a mathematical system used to predict the behavior of complex, random processes by analyzing the probability of transitioning between different states. In the tech community, Markov models are relevant for applications such as speech recognition, natural language processing, and predictive analytics, allowing developers to build more accurate and efficient algorithms that can model real-world phenomena and make informed decisions based on probabilistic outcomes.
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