Conditional Probability

Conditional probability is a statistical measure that describes the likelihood of an event occurring given that another event has already occurred. It is denoted as P(A|B), which reads as the probability of event A occurring given that event B has occurred. This concept is fundamental in various fields, including statistics, data science, and machine learning, as it helps in understanding dependencies between events. Common use cases include Bayesian inference, risk assessment, and decision-making processes where the outcome of one event influences another.