What is history, history is us, not you, not him, not her, is all people.
—————————— Preface
This article is a summary of Bo Master's reading about Bayes and its related knowledge.
first, the mathematical beauty of the article: the ordinary and magical Bayesian method
theory and practice of machine learning (III.) naive Bayesian
three, from the Bayesian approach to the Bayesian network
Four, the beauty of mathematics----Bayesian Network (2)
Five, Bayesian network learningvi. Stanford probability map model (probabilistic graphical model)-First Bayesian network Foundation
Seven, Hidden Markov model and dynamic Bayesian networkEight, the Bayesian network on-line construction process detailed
Nine, Bayesian network parameters study notes
The above article has been skimming all over the Bayesian network has a good summary and personal opinion of the blog, recommended to everyone. The next step is to read through the strength of self-understanding. PS: Have a good blog or article I hope you introduce to me Oh
Machine learning && Bayesian theorem, naive Bayesian implementations, Bayesian networks and other knowledge blog finishing
