What was bayes’ theorem? How was it useful in a machine learning context?
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Answer / Phool Chand
Bayes' theorem is a fundamental principle in probability theory that describes the conditional probability of an event A given another event B. In machine learning, it is used to calculate the posterior probability of a hypothesis given observed evidence, which is essential for Bayesian classification and regression tasks.
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