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Chapter 1. Introduction to Statistical Learning Methods
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Chapter 2. Perceptron
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Chapter 3. K Nearest Neighbor Method
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Chapter 4. Naive Bayesian Method
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Chapter 5. Decision Tree
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Chapter 6. Logistic Regression and Maximum Entropy Model
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Chapter 7. Support Vector Machine
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Chapter 8. Lifting Methods
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Chapter 9. EM Algorithm and Its Extension
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Chapter 10. Hidden Markov Model
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Chapter 11. Conditional Random Fields
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Chapter 12. Summary of Statistical Learning Methods
eurus-holmes / statistics-base Goto Github PK
View Code? Open in Web Editor NEWCode for the book: "Statistical Learning Methods, by Hang Li".
Home Page: https://chenfeiyang.top/Statistics-Base/
License: Apache License 2.0