"Statistical learning methods," notes (unfinished)

Mainly to "statistical learning methods," Li Hang teacher based, while Zhou Zhihua teacher with a "machine learning" as a supplement.
Notes divided into three large pieces:

1. Personal summary
2. The chapters explain the relevant outstanding Bowen
3. Code implementation and after-school exercise answers

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Reference article :( learning process, see the excellent blog post)
1, Introduction to statistical learning methods
2, Perceptron
(1) How to understand the dual form perceptron learning algorithm?
(2) Perceptron principle Summary
3, k-nearest neighbor (kNN)
(1) a rabbit to help you understand kNN
(2) kd-tree algorithm of ideas articles
(3) detailed articles kd-tree algorithm of
(4) scikit- learn the kNN classification