Bayes’ Theorem
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P(A|B) = P(B|A) * P(A) / P(B). Relates conditional probabilities by “reversing” the conditioning. Fundamental to Bayesian statistics, spam filtering, medical diagnosis, and machine learning. Enables updating beliefs with new evidence.