搜尋結果
貝氏定理（英語： Bayes' theorem ）是機率論中的一個定理，描述在已知一些條件下，某事件的發生機率。 比如，如果已知某種健康問題與壽命有關，使用貝氏定理則可以通過得知某人年齡，來更加準確地計算出某人有某種健康問題的機率。
In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
2021年3月29日 · Bayes' Rule is the most important rule in data science. It is the mathematical rule that describes how to update a belief, given some evidence. In other words – it describes the act of learning.
2021年2月26日 · 貝氏定理也可以幫助我們在基於已知的條件，預測特定事件發生的機率，而透過貝氏定理來進行分類的演算法，則是貝氏分類器，有興趣的讀者可以 ...
Bayes' theorem is a formula that describes how to update the probabilities of hypotheses when given evidence. It follows simply from the axioms of conditional probability, but can be used to powerfully reason about a wide range of problems involving belief updates.
2023年8月26日 · 一文搞懂贝叶斯定理（原理篇）. 托马斯·贝叶斯（Thomas Bayes）是18世纪的英国数学家，也是一位虔诚的牧师。. 据说他为了反驳对上帝的质疑而推导出贝叶斯定理。. 贝叶斯定理是一个由结果倒推原因的概率算法，在贝叶斯提出这个条件概率公式后，很长一段时间 ...
This lesson covers Bayes' theorem. Shows how to use Bayes’ rule to solve conditional probability problems. Includes sample problem with step-by-step solution.
