1. The Math of Dependence: Covariance Explained.
Intro to multivariate random variables and measuring dependence. Definition of covariance and the covariance matrix. Properties: Symmetry and positive semi-definiteness. Visualizing variance (diagonals) vs. covariance (off-diagonals) in a matrix. Adapted from Lecture 10 of Probabilistic Machine Learning Lecture Series: • Machine Learning Lecture 10 | Multivariate... Playlist section: • Probabilistic Machine Learning Lectures
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