TDSM 5.13

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Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

It is useful in practice because it links the probability we want to predict given the evidence and other information we have. It helps incorporate "conditional probabilities" into our conclusions.