Lecture

Expectation Maximization: Learning Parameters

In course

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Description

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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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_4mtalsf3

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Probability theory: Topics in probability theory

Physics

Electromagnetism: Electrical networks

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