Bayes' Theorem describes how to update the probability of a hypothesis when new data is obtained. It reverses conditional probability: instead of asking “what is the probability of the data given the hypothesis?”, we ask “what is the probability of the hypothesis given the observed data?” P(A∣B) = P(B∣A)*P(A) / P(B) P(A∣B) = Likelihood × Prior / Marginal likelihood P(A∣B) — posterior probabi
Bayes' theorem in machine learning
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