Derivation of EM for the GMM

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Description

This lecture covers the Gaussian Mixture Model (GMM), the Expectation-Maximization (EM) algorithm, and the derivation of the E-step and part of the M-step for estimating the proportions pi_1 to pi_K. The slides provide a detailed walkthrough of the EM algorithm for GMM.

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In course

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Instructor

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