Explain the difference between bayes and naive bayes?
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Answer / Vikas Kumar Singh
Bayes Theorem is a general probability theory used in machine learning, while Naive Bayes is a specific classification algorithm that applies Bayes Theorem with the naive assumption of feature independence. In other words, Bayes Theorem is a broader concept, and Naive Bayes is one of its applications.
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