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Which fundamental theorem of probability is used to calculate the posterior probability of a hypothesis given observed evidence?

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Bayes' Theorem

Bayes' Theorem provides the mathematical framework for Bayesian inference, where beliefs are updated as new data becomes available. In ML, it is the foundation of Naive Bayes classifiers and many probabilistic models.

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  • What probability theorem describes how to update the likelihood of a hypothesis as new evidence is observed?

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