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Lecture
Gaussian Mixture Models: Expectation-Maximization
Description
This lecture covers Gaussian Mixture Models, focusing on the Expectation-Maximization algorithm to optimize likelihood estimation. It explains the challenges with K-means, the advantages of GMM, and the EM algorithm steps.
Official source
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