Naive Bayes classifier - Wikipedia
- https://en.wikipedia.org/wiki/Naive_Bayes_classifier
- In machine learning, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naive) independence assumptions between the features.
- Naive Bayes has been studied extensively since the 1960s. It was introduced (though not under that name) into the text retrieval community in the early 1960s,[1] and remains a popular (baseline) method for text categorization, the problem of judging documents as belonging to one category or the other (such as spam or legitimate, sports or politics, etc.) with word frequencies as the features. With appropriate pre-processing, it is competitive in this domain with more advanced methods including support vector machines.[2] It also finds application in automatic medical diagnosis.[3]
- Naive Bayes classifiers are highly scalable, requiring a number of parameters linear in the number of variables (features/predictors) in a learning problem. Maximum-likelihood training can be done by evaluating a closed-form expression,[4]:718 which takes linear time, rather than by expensive iterative approximation as used for many other types of classifiers.
- In the statistics and computer science literature, naive Bayes models are known under a variety of names, including simple Bayes and independence Bayes.[5] All these names reference the use of Bayes' theorem in the classifier's decision rule, but naive Bayes is not (necessarily) a Bayesian method.[4][5]
1.9. Naive Bayes — scikit-learn 0.20.3 documentation
- https://scikit-learn.org/stable/modules/naive_bayes.html
Machine Learning with Python: Introduction Naive Bayes Classifier
- https://www.python-course.eu/naive_bayes_classifier_introduction.php
贝叶斯、概率分布与机器学习 - 程序员数学之美
- https://mp.weixin.qq.com/s/37D1sq-c9H89YV_mcV8BUQ
- http://www.cnblogs.com/LeftNotEasy/archive/2010/09/27/1837163.html
朴素贝叶斯算法的优缺点 - 机器学习算法与自然语言处理
- https://mp.weixin.qq.com/s/Oxfa6Xvqx5BCO46CMGZB-w
- http://www.cnblogs.com/pinard/p/6069267.html
朴素贝叶斯算法原理小结 - 刘建平Pinard - 博客园
- https://www.cnblogs.com/pinard/p/6069267.html
scikit-learn 朴素贝叶斯类库使用小结 - 刘建平Pinard - 博客园
- https://www.cnblogs.com/pinard/p/6074222.html