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Statistical Learning from a Regression Perspective

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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 Neural Networks
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    Chapter 9 Reinforcement Learning and Genetic Algorithms
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    Chapter 10 Integrating Themes and a Bit of Craft Lore
Attention for Chapter 1: Statistical Learning as a Regression Problem
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