前段时间给部门做的LDA seminar的PPT：
http://pan.baidu.com/s/1bns6RKj
大致内容提要：
1.parameter estimation approachs
(ML MAP Bayes Estimation)
2.conjugate distribution
(Beta-Binomial conjugate,dirichlet-mulinomial conjugage)
3.sampling method
(basic sampling algorithms, MCMC, Gibbs sampling)
4.basic of probabilistic graphical models
5.topic model
（LSI\LSA model-text pLSA LDA Gibbs-sampling LDA-training-and-inference example-for-image Extensions-to-LDA）
以上内容可以参考PRML chapter1 chapter2 chapter8 chapter10 chapter11和LDA相关论文