Andrew Moore 的这些教程是对机器学习主题的非常好的（而且不太重）介绍：http:// /www.autonlab.org/tutorials/。有神经网络和贝叶斯网络的教程。
These tutorials from Andrew Moore are a very good -- and not too heavy -- introduction to machine learning topics: http://www.autonlab.org/tutorials/. There is a tutorial for both neural networks and Bayesian networks.
我在学校讲授这类内容的课文是杜达、哈特和鹳的《模式分类》。
My text for this sort of stuff in school was 'Pattern Classification' by Duda, Hart, and Stork.
有一个贝叶斯网络的实现，称为 JavaBayes，我认为是一个很好的软件，请阅读文档网站上提供。
There is an implementation of bayesian networks called JavaBayes, I consider a good software, read the doicumentation provided at the site.
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Andrew Moore 的这些教程是对机器学习主题的非常好的（而且不太重）介绍：http:// /www.autonlab.org/tutorials/。有神经网络和贝叶斯网络的教程。
These tutorials from Andrew Moore are a very good -- and not too heavy -- introduction to machine learning topics: http://www.autonlab.org/tutorials/. There is a tutorial for both neural networks and Bayesian networks.
我在学校讲授这类内容的课文是杜达、哈特和鹳的《模式分类》。
My text for this sort of stuff in school was 'Pattern Classification' by Duda, Hart, and Stork.
有一个贝叶斯网络的实现，称为 JavaBayes，我认为是一个很好的软件，请阅读文档网站上提供。
There is an implementation of bayesian networks called JavaBayes, I consider a good software, read the doicumentation provided at the site.