probability-theory

Mathematical foundations of uncertainty and random phenomena. Covers sample spaces, events, axioms, conditional probability, Bayes' theorem, independence, random variables, distributions (discrete and continuous), expected value, variance, the law of large numbers, and the central limit theorem. Use when computing probabilities, reasoning about random event…

Independent GitHub snapshot · Automated classification · Original documentation governs