Thomas Bayes

Thomas Bayes

An English statistician and Presbyterian minister whose theorem, published posthumously in 1763, describes how to update the probability of a belief as new evidence arrives. Bayes' theorem underpins Bayesian statistics and probabilistic approaches to machine learning, from spam filters to uncertainty estimation in modern AI systems, making him an intellectual ancestor of the field centuries before it existed. (See also: Machine learning)