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