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Statistical Learning from a Regression Perspective

Overview of attention for book
Cover of 'Statistical Learning from a Regression Perspective'

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Learning as a Regression Problem
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    Chapter 2 Splines, Smoothers, and Kernels
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    Chapter 3 Classification and Regression Trees (CART)
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    Chapter 4 Bagging
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    Chapter 5 Random Forests
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    Chapter 6 Boosting
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    Chapter 7 Support Vector Machines
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    Chapter 8 Some Other Procedures Briefly
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    Chapter 9 Broader Implications and a Bit of Craft Lore
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    Chapter 10 Erratum to: Statistical Learning from a Regression Perspective
Attention for Chapter 2: Splines, Smoothers, and Kernels
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