概率统计复习篇

bayes公式原来这么重要！

先写个大概，把重要的条目列出来，明天有空了慢慢填空。

naive bayes classifier

what is the assumption? conditional independence

why we use it? to reduce estimating parameter

how do we learn it

why is bayesian estimation important?

 

naive bayes algorithm for discrete/continuous future

Parameter estimation:

MLE (maximum likelihood estimation)

MAP (maximum a posteriori estimation)

 

continuous feature:

Gaussian Naive Bayes

 

Application:

text classification

bag of words model