Naive Bayes: Gaussian Discriminant Analysis

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Description

This lecture covers the Naive Bayes algorithm, focusing on Gaussian Discriminant Analysis. It explains how to factorize the likelihood and estimate parameters using Maximum Likelihood. The instructor demonstrates the decision rule for choosing the most likely label based on the features.

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Instructor

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Naive Bayes: Gaussian Discriminant Analysis

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