Bayesian

ML Math Derivations (3): Probability Theory and Statistical Inference

Machine learning is uncertainty modeling. This article derives probability spaces, common distributions, MLE, Bayesian estimation, limit theorems and information theory -- the statistical engine behind every ML model.