r/MachineLearning
6/18/2026
Free lecture covers multivariate probability
Original: Multivariate Probability Models in Machine Learning [D]
Short summary
Lecture on multivariate probability models covering Gaussian distributions, covariance, correlation, Simpson's Paradox, and Mahalanobis distance. Builds mathematical foundations that differentiate ML engineers. Free lecture series from r/MachineLearning community.
- •Extends univariate ML concepts to multivariate cases using covariance and correlation
- •Introduces Gaussian distribution geometry via Mahalanobis distance and level sets
- •Part of free Probabilistic Machine Learning lecture series
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