p(a | b) represents the conditional probability of event A occurring given that event B has already occurred. This concept is essential in understanding how probabilities are interconnected and how the occurrence of one event can influence the likelihood of another. Conditional probability forms the backbone of many principles in probability spaces, helping to clarify how different outcomes relate to each other and contributing to the foundational axioms that define probability theory.
congrats on reading the definition of p(a | b). now let's actually learn it.