斯坦福大學機器學習課程講義

2011-09-14 23:55:01|  分類： 國外大學課程 |  標籤：機器學習  |字型大小 訂閱

教師：Andrew Ng

http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1

http://www.stanford.edu/class/cs229/materials.html

Lecture notes 1 (ps) (pdf)  
Supervised Learning, Discriminative Algorithms 
Lecture notes 2 (ps) (pdf)  
Generative Algorithms 
Lecture notes 3 (ps) (pdf)  
Support Vector Machines 
Lecture notes 4 (ps) (pdf)  
Learning Theory 
Lecture notes 5 (ps) (pdf)  
Regularization and Model Selection 
Lecture notes 6 (ps) (pdf)  
Online Learning and the Perceptron Algorithm. (optional reading) 
Lecture notes 7a (ps) (pdf)  
Unsupervised Learning, k-means clustering. 
Lecture notes 7b (ps) (pdf)  
Mixture of Gaussians 
Lecture notes 8 (ps) (pdf)  
The EM Algorithm 
Lecture notes 9 (ps) (pdf)  
Factor Analysis 
Lecture notes 10 (ps) (pdf)  
Principal Components Analysis 
Lecture notes 11 (ps) (pdf)  
Independent Components Analysis 
Lecture notes 12 (ps) (pdf)  
Reinforcement Learning and Control