freeCodeCamp/guide/chinese/machine-learning/bayes-classifier/index.md

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---
title: Bayes Classifier
localeTitle: 贝叶斯分类器
---
贝叶斯分类器基于应用贝叶斯定理来更新其对事件发生概率的信念。
![贝叶斯定理](https://github.com/Cheungo/bayes_theorem_image/blob/master/CodeCogsEqn.gif?raw=true)
贝叶斯定理允许您计算给定A的B的概率前提是您有给定的BA和B的概率。
贝叶斯分类器通过保持每种可能情景的概率来模拟不确定性。随着更多信息的可用性,更新概率以更准确地反映现在已知的给定情况。
#### 推荐阅读:
* https://monkeylearn.com/blog/practical-explanation-naive-bayes-classifier/
* https://en.wikipedia.org/wiki/Naive _贝叶斯_分类器
* https://youtu.be/XcwH9JGfZOU第1部分
* https://youtu.be/k2diLn5Nqbs第2部分