The video is second in the series of five to build the intuition Gaussian Mixture Models in Scikit-learn in Python.
Timeline
(no coding)
00:00 - Start
00:11 - Part - 2
00:31 - Expectation: for discrete and continuous
02:06 - Expectation maximization (EM)
06:22 - EM algorithm: KL divergence and lower bound
10:56 - K-means
14:16 - Gaussian mixture models
17:47 - Gaussian distribution: equation for univariate and multivariate
18:42 - Gaussian mixture: Univariate
19:56 - Gaussian mixture: Bivariate / Multivariate
20:57 - Ending notes
Негізгі бет Ғылым және технология #97: Scikit-learn 94:Unsupervised Learning 2: Gaussian mixture modeling (2/5)
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