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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 covers the Expectation Maximization algorithm for learning parameters, focusing on the process of maximizing likelihood and dealing with unknown variables. It also discusses the concept of conditional probability and the iterative nature of the algorithm.
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