In this video we we will delve into the fundamental concepts and mathematical foundations that drive Gaussian Mixture Models (GMM).
*References*
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Multivariate Normal (Gaussian) Distribution Explained: https://youtu.be/UVvuwv-ne1I
*Related Videos*
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Multivariate Normal (Gaussian) Distribution Explained: https://youtu.be/UVvuwv-ne1I
The Bessel's Correction: https://youtu.be/E3_408q1mjo
Gradient Boosting with Regression Trees Explained: https://youtu.be/lOwsMpdjxog
P-Values Explained: https://youtu.be/IZUfbRvsZ9w
*Contents*
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00:00 - Intro
00:30 - K-Means vs GMM
01:12 - GMM Motivation
01:56 - Expectation Maximization
02:58 - GMM Parameters
03:20 - GMM Mathematics
04:34 - Outro
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