Bayes' Theorem: Revision history

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    3 November 2024

    • curprev 20:4420:44, 3 November 2024‎ 핵톤 talk contribs‎ 1,003 bytes +1,003‎ Created page with "'''Bayes' theorem''' is a fundamental principle in probability theory and statistics, which describes how to update the probability of a hypothesis based on new evidence. It provides a mathematical framework for reasoning under uncertainty and is often used in machine learning, especially in algorithms like Naive Bayes. The theorem is expressed as: P(A | B) = (P(B | A) * P(A)) / P(B) where: *'''P(A | B)''' is the posterior probability: the probability of event A occur..." Tag: Visual edit
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