Lecture

Generative Learning Algorithms

In course

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Description

This lecture covers the generation model in machine learning, focusing on generative learning algorithms and properties of a cat. It explains decision rules, maximum likelihood estimation, multivariate Gaussian distribution, and Bernoulli distribution. The instructor discusses the log-likelihood of data and Gaussian discriminant analysis.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_j3waxgzl

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