Intro to Probabilistic Methods
Conditional probability, denoted as $$p(a|b)$$, represents the probability of event A occurring given that event B has already occurred. This concept is crucial for understanding how events relate to each other and helps in calculating the likelihood of one event under the condition of another. The formula $$p(a|b) = \frac{p(a \cap b)}{p(b)}$$ reveals how to derive this probability from joint probability and the probability of the conditioning event.
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