Question
What is 'Bayes' Theorem'?
Solution
Bayes' Theorem: P(A|B) = [P(B|A) × P(A)] / P(B). Where P(A) = prior probability, P(A|B) = posterior probability (updated belief after observing B). Naive Bayes Classifier applies this to ML (assumes feature independence). Naive Bayes classifiers are fast, interpretable, and effective for text classification, loan application fraud detection and email categorization.
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