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Explore the fundamental concepts of Markov Processes in this comprehensive lecture. Delve into the two key assumptions underlying these processes and understand the distinctions between k-order and first-order Markov Processes. Examine concrete examples to solidify your understanding, and investigate the problem-solving aspects of decision-making within this framework. Gain valuable insights into the application of Markov Processes in various fields and enhance your knowledge of this crucial topic in computer science and probability theory.
