机器学习相关资料

课程

3. 公开课资源
4. Stanford公开课：Mining Massive Data Sets
5. Berkeley cs: Bayesian Modeling and Inference
6. Stanford CS231n: Convolutional Neural Networks for Visual Recognition,Notes
7. 课程：Introduction to Neural Networks
8. Unsupervised Learning
9. Rdata

网站

6. 网站：我爱机器学习，我爱自然语言处理,我爱计算机
7. Tensorflow playground
8. 基于遗传算法设计NN的demo,而且可以有不同的activation functions,更多内容见: http://www.otoro.net/ml/
9. Deep learning, tutorials
10. 集智
11. Stanford:Unsupervised Feature Learning and Deep Learning
12. Blog :http://www.zinkov.com/

网络书籍

1. Deep Learning Book
2. 书籍 http://neuralnetworksanddeeplearning.com/