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Index
Cover Frontmatter 1. Introduction 2. Statistical Learning 3. Linear Regression 4. Classification 5. Resampling Methods 6. Linear Model Selection and Regularization 7. Moving Beyond Linearity 8. Tree-Based Methods 9. Support Vector Machines 10. Unsupervised Learning Backmatter
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