机器学习之朴素贝叶斯算法原理与代码实现

代码说明：

  朴素贝叶斯是经典的机器学习算法之一，也是为数不多的基于概率论的分类算法。朴素贝叶斯原理简单，也很容易实现，多用于文本分类，比如垃圾邮件过滤。(Naive Bayes is one of the classical machine learning algorithms, and is also one of the few classification algorithms based on probability theory. Naive Bayesian principle is simple and easy to implement. It is mostly used for text categorization, such as spam filtering.)

文件列表：

深度学习之七：机器学习之朴素贝叶斯算法原理与代码实现.docx, 147083 , 2019-08-09