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Lecture
Generative Learning Algorithms
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.
Official source
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