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What is bayes' theorem? How is it useful in a machine learning context?
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Answer / Shantanu Rana
Bayes' Theorem is a probability formula that expresses the conditional probability of an event A given an event B, P(A|B), as a function of the prior probabilities P(A) and P(B|A). In machine learning, Bayesian methods use Bayes' Theorem to update beliefs based on new evidence and perform classification, regression, and clustering tasks.
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