The term p(a|b) represents the conditional probability of event A occurring given that event B has already occurred. This concept is vital in probability theory as it allows us to update our beliefs about the likelihood of an event based on new information or evidence. Understanding conditional probability enables us to make more informed decisions in various fields, including finance, statistics, and data science.
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