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Lecture
Gaussian Mixture Models: Expectation-Maximization
Description
This lecture covers the Expectation-Maximization (EM) algorithm, which provides an elegant method to optimize Gaussian mixture models. It explains the iterative two-step procedure involving expectation and maximization steps, essential for optimizing complex problems efficiently.
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