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Mixture Models and the EM Algorithm

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If you have a question about this talk, please contact Zoubin Ghahramani.

Advanced Machine Learning Tutorial Lecture

In this tutorial I will give an introduction to the Gaussian mixture model, and the use of the EM (expectation-maximization) algorithm to determine its parameters by maximizing the likelihood function. As well as being of widespread practical importance, these techniques will sever to introduce some key concepts in machine learning such as latent variables.

This talk is part of the Machine Learning @ CUED series.

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