Can you explain what Markov models are?
Sure! Markov models are mathematical systems that undergo transitions from one state to another based on certain probabilistic rules.
How do they work in practice?
In practice, Markov models are used in various fields like finance, genetics, and natural language processing to predict future states based on current information.
What are some real-world applications of Markov models?
Some real-world applications include speech recognition, stock market analysis, and even game development for character behavior.
Are there different types of Markov models?
Yes, there are several types, including discrete-time Markov chains and hidden Markov models, each serving different purposes.
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