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The elements of statistical learning : data Mining, inference, and prediction 2nd ed

The elements of statistical learning : data Mining, inference, and prediction 2nd ed

Material type
단행본
Personal Author
Hastie, Trevor. Tibshirani, Robert. Friedman, J. H. (Jerome H.)
Title Statement
The elements of statistical learning : data Mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman.
판사항
2nd ed.
Publication, Distribution, etc
New York :   Springer,   2009.  
Physical Medium
xxii, 745 p. : ill. ; 22 cm.
Series Statement
Springer series in statistics
ISBN
0387848576 9780387848570
Bibliography, Etc. Note
Includes bibliographical references (p. [699]-727) and index.
Subject Added Entry-Topical Term
Supervised learning (Machine learning)
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008 951108s2009 nyua b 001 0 eng d
010 ▼a 2008941148
020 ▼a 0387848576
020 ▼a 9780387848570
040 ▼a DLC ▼c DLC ▼d 211009 ▼d 244002 ▼d 211009
050 1 4 ▼a Q325.75 ▼b H37 2009
082 0 4 ▼a 006.3/1 ▼2 23
084 ▼a 006.31 ▼2 DDCK
090 ▼a 006.31 ▼b H356e2
100 1 ▼a Hastie, Trevor.
245 1 4 ▼a The elements of statistical learning : ▼b data Mining, inference, and prediction / ▼c Trevor Hastie, Robert Tibshirani, Jerome Friedman.
250 ▼a 2nd ed.
260 ▼a New York : ▼b Springer, ▼c 2009.
300 ▼a xxii, 745 p. : ▼b ill. ; ▼c 22 cm.
490 1 ▼a Springer series in statistics
504 ▼a Includes bibliographical references (p. [699]-727) and index.
650 0 ▼a Supervised learning (Machine learning)
700 1 ▼a Tibshirani, Robert.
700 1 ▼a Friedman, J. H. ▼q (Jerome H.)
830 0 ▼a Springer series in statistics.
945 ▼a KINS

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No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.31 H356e2 Accession No. 111536097 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Main Library/Western Books/ Call Number 006.31 H356e2 Accession No. 111789110 Availability In loan Due Date 2021-04-26 Make a Reservation Service M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 H356e2 Accession No. 121221460 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 H356e2 Accession No. 121239021 Availability In loan Due Date 2021-07-05 Make a Reservation Service M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Course Reserves/ Call Number 응용통계학과 006.31 H356e2 Accession No. 151312573 Availability Loan can not(reference room) Due Date Make a Reservation Service
No. 2 Location Sejong Academic Information Center/Science & Technology/ Call Number 006.31 H356e2 Accession No. 151309538 Availability Available Due Date Make a Reservation Service

Contents information

Author Introduction

트레버 헤이스티(지은이)

통계학 및 생물의학 데이터 과학 교수다. 현대 데이터 분석 분야의 필독서로 꼽히는 『Elements of Statistical Learning, Second Edition』(Springer, 2016)의 공동 저자며, 일반 가첨(additive) 모델과 주요 곡선, R 컴퓨팅 환경에 대한 공로로 잘 알려져 있다. 2014년 통계적 혁신 부문의 '엠마누엘(Emmanuel)과 캐롤 파르젠(Carol Parzen) 상'을 수상했다.

로버트 팁시라니(지은이)

스탠퍼드대학교 통계학과 교수이며, 이 분야의 저명한 연구자다. 일반화 가법 모델을 개발했으며 이 제목으로 인기 있는 책을 저술했다. 라쏘를 제안했으며 이 분야의 매우 유명한 책인 『An introduction to the Bootstrap』(Chapman and Hall/CRC, 1993)의 공동 저자다.

Information Provided By: : Aladin

Table of Contents

Introduction	
Overview of supervised learning	
Linear methods for regression	
Linear methods for classification	
Basis expansions and regularization	
Kernel smoothing methods	
Model assessment and selection	
Model inference and averaging	
Additive models, trees, and related methods	
Boosting and additive trees	
Neural networks	
Support vector machines and flexible discriminants	
Prototype methods and nearest-neighbors	
Unsupervised learning

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