DonGovi Blog

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Generative models for discrete data

Naive Bayes classifiers

本系列主要参考Kevin P. Murphy的书籍，Machine learning: A Probabilistic Perspective。该书从理论角度讲述机器学习算法，内容详尽，逻辑流畅，值得机器学习入门阅读。 引言 首先需要讲一下几个概率统计的概念，方便后面理解。 Bayes Theorem（贝叶斯定理） 贝叶斯定理描述了条件概率$P(A \vert B)$与条件概率$P(...

Posted by DonGovi on September 14, 2018

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