Bayes's theorem specifies how to:
A) combine the prior probability with the conditional probabilities to determine the posterior probability.
B) combine the prior probability with the posterior probability to determine the conditional probabilities.
C) combine the conditional probabilities with the posterior probability to determine the prior probabilities.
D) derive the posterior probability and the prior probability from the conditional probabilities.

Question

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Bayes's theorem allows us to calculate the posterior probability by combining the prior probability and the conditional probabilities. It is a way to update our beliefs or knowledge about an event or hypothesis based on new evidence or data. Bayes's theorem is widely used in statistics, machine learning, artificial intelligence, and other fields that deal with uncertainty and probability.

Bayes's Theorem Specifies How To