(ML 16.3) Expectation-Maximization (EM) algorithm

Описание к видео (ML 16.3) Expectation-Maximization (EM) algorithm

Introduction to the EM algorithm for maximum likelihood estimation (MLE). EM is particularly applicable when there is "missing data" and one is using an exponential family model. This includes many latent variable models such as mixture models.

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