The Elements of Statistical Learning : Data Mining, Inference, and Prediction Book

Name: The Elements of Statistical Learning : Data Mining, Inference, an
Brand: Springer
SKU: 9780387952840
Price: 99.99 USD
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The Elements of Statistical Learning : Data Mining, Inference, and Prediction, During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led, The Elements of Statistical Learning : Data Mining, Inference, and Prediction

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The Elements of Statistical Learning : Data Mining, Inference, and Prediction
Written by author Jerome Friedman, Trevor Hastie, Robert Tibshirani
Published by Springer, 2003/09/02
During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led

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Preface

1 Introduction 1

2 Overview of Supervised Learning 9

3 Linear Methods for Regression 41

4 Linear Methods for Classification 79

5 Basis Expansions and Regularization 115

6 Kernel Methods 165

7 Model Assessment and Selection 193

8 Model Inference and Averaging 225

9 Additive Models, Trees, and Related Methods 257

10 Boosting and Additive Trees 299

11 Neural Networks 347

12 Support Vector Machines and Flexible Discriminants 371

13 Prototype Methods and Nearest-Neighbors 411

14 Unsupervised Learning 437

References 509

Author Index 523

Index 527

Title: The Elements of Statistical Learning : Data Mining, Inference, and Prediction

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Springer

Item Number: 9780387952840

Number: 1

Product Description: Full Name: The Elements of Statistical Learning : Data Mining, Inference, and Prediction; Short Name:The Elements of Statistical Learning

Universal Product Code (UPC): 9780387952840

WonderClub Stock Keeping Unit (WSKU): 9780387952840

Rating: 4/5 based on 1 Reviews

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Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 6.400 cm (2.52 inches)

Heigh : 9.300 cm (3.66 inches)

Depth: 1.200 cm (0.47 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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The Elements of Statistical Learning : Data Mining, Inference, and Prediction, During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led, The Elements of Statistical Learning : Data Mining, Inference, and Prediction

Add The Elements of Statistical Learning : Data Mining, Inference, and Prediction, During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led, The Elements of Statistical Learning : Data Mining, Inference, and Prediction to the inventory that you are selling on WonderClub

Add The Elements of Statistical Learning : Data Mining, Inference, and Prediction, During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led, The Elements of Statistical Learning : Data Mining, Inference, and Prediction to your collection on WonderClub

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	Preface
1	Introduction	1
2	Overview of Supervised Learning	9
3	Linear Methods for Regression	41
4	Linear Methods for Classification	79
5	Basis Expansions and Regularization	115
6	Kernel Methods	165
7	Model Assessment and Selection	193
8	Model Inference and Averaging	225
9	Additive Models, Trees, and Related Methods	257
10	Boosting and Additive Trees	299
11	Neural Networks	347
12	Support Vector Machines and Flexible Discriminants	371
13	Prototype Methods and Nearest-Neighbors	411
14	Unsupervised Learning	437
	References	509
	Author Index	523
	Index	527