Bayes' Theorem: 편집 역사

2024년 11월 4일 (월)

• 최신이전 10:442024년 11월 4일 (월) 10:44‎ 핵톤 토론 기여‎ 1,003 바이트 +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..." 태그: 시각 편집