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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces Markov chains, discussing elementary properties such as the transition matrix, communicating classes, and stochastic processes. It covers the definition of a stochastic process, probability vectors, and transition matrices. The lecture also explores the Markov property, equivalence theorems, and consequences of Markov chains.