Machine learning 07: Bayesian learning

Basic knowledge of Bayesian learning

Bayes theorem

Bias optimal classifier

Naive Bayes classifier

Problem solved ：

Simple model , Strong generalization performance

Naive Bayesian classification improvement

Structure extension , Add on the original basis （ The model becomes complex ）

feature selection （ According to the importance of the characteristics , Select some features ）

Feature weighting （ Treat different characteristics differently ）