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jiangzhonglian merged 1 commit into from
May 5, 2019
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Update 4.朴素贝叶斯.md #505

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2 changes: 1 addition & 1 deletion blog/ml/4.朴素贝叶斯.md
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Expand Up @@ -44,7 +44,7 @@ P(white|bucketB) = P(white and bucketB) / P(bucketB)

另外一种有效计算条件概率的方法称为贝叶斯准则。贝叶斯准则告诉我们如何交换条件概率中的条件与结果，即如果已知 P(x|c)，要求 P(c|x)，那么可以使用下面的计算方法：

![计算p(c|x)的方法/img/ml/4.NaiveBayesian/NB_4.png)
![计算p(c|x)的方法](/img/ml/4.NaiveBayesian/NB_4.png)

### 使用条件概率来分类

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