#74: Scikit-learn 71:Supervised Learning 49: Intuition Gaussian Process

The video builds intuition for a Gaussian Process starting with what is a Gaussian.

Timeline
(no coding)
Note: video lags audio in some places

00:00 - Outline of video
01:01 - What is a Gaussian?
03:59 - What is a Gaussian? Univariate
06:30 - What is a Gaussian? Multivariate
07:17 - Multivariate Gaussian: correlation, covariance
10:37 - Multivariate Gaussian: joint probability distribution
10:47 - Multivariate Gaussian: conditional probability distritubion
15:08 - Sampling from a Gaussian distribution
17:47 - Sampling from a Gaussian distribution: math
20:36 - What is Cholesky decomposition of a matrix?
21:27 - * * * NOTE * * *: video lags audio
21:47 - Multivariate Gaussian: Regression
22:44 - Multivariate Gaussian: Regression: kernel
30:10 - Multivariate Gaussian: Regression: discuss plot
32:16 - Gaussian Process (GP): definition
33:30 - Gaussian Process: mean and covariance (noiseless, noisy GP)
34:57 - Gaussian Process: learn kernel parameters: log marginal likelihood
35:51 - Ending notes

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• #gaussian_process
• #supervised_machine_learning
• #linear_models
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