Bayes’ theorem
Bayes’ theorem: A rule relating conditional probabilities by reversing conditioning through likelihood, prior probability and evidence. It updates a belief with new observations. The prior choice and quality of the likelihood model influence the resulting posterior. This perspective connects the definition with practical behaviour in artificial intelligence systems.
In italiano: Teorema di BayesLegge II · Probabilità, softmax e modelli generativiIt updates a belief with new observations. The prior choice and quality of the likelihood model influence the resulting posterior.