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#96: Scikit-learn 93:Unsupervised Learning 1: Gaussian mixture modeling (1/5)
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The video is first in the series of five to build the intuition Gaussian Mixture Models in Scikit-learn in Python.
Timeline
(no coding)
00:00 - Start
00:50 - Outline of video
01:12 - References
01:54 - Part - 1 begins
02:00 - Supervised vs. unsupervised learning
06:38 - Unsupervised learning: cluster structures
07:58 - Unsupervised learning: why it is used?
09:51 - Gaussian distribution: mean
11:25 - Gaussian distribution: standard deviation
12:36 - Gaussian distribution: bivariate/multivariate: contour plot
16:21 - Gaussian distribution: covariance
18:20 - Ending notes
Timeline
(no coding)
00:00 - Start
00:50 - Outline of video
01:12 - References
01:54 - Part - 1 begins
02:00 - Supervised vs. unsupervised learning
06:38 - Unsupervised learning: cluster structures
07:58 - Unsupervised learning: why it is used?
09:51 - Gaussian distribution: mean
11:25 - Gaussian distribution: standard deviation
12:36 - Gaussian distribution: bivariate/multivariate: contour plot
16:21 - Gaussian distribution: covariance
18:20 - Ending notes