Conditional Probability

Conditional probability measures the likelihood of an event given the occurrence of another event. It's formally defined as P(A|B) = P(A∩B)/P(B), where P(A|B) is the probability of A given B. This concept is fundamental to understanding dependencies between events and forms the basis for many machine learning algorithms.

Diagnostic testing, risk assessment, recommendation systems, natural language processing, and decision support systems.