Lecture
Gaussian Mixture Models: Exercises
Description
This lecture covers exercises related to Gaussian Mixture Models (GMM) in the context of Applied Machine Learning. The exercises focus on conditional probability distributions, marginal distributions, datasets visualization, and statistical independence. Students will analyze different datasets, compute marginals, and determine the independence and correlation between random variables.
Official source
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