The elements of statistical learning : (Record no. 415)

MARC details
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fixed length control field 05153cam a2200745 i 4500
001 - CONTROL NUMBER
control field 300478243
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control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240902170716.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090130s2009 nyuad b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2008941148
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number 08,N30,0597
Source dnb
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387848570
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0387848576
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780387848587
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0387848584
Qualifying information (electronic)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387848846
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0387848843
024 3# - OTHER STANDARD IDENTIFIER
Standard number or code 9780387848570
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)300478243
Canceled/invalid control number (OCoLC)717787914
-- (OCoLC)754964653
-- (OCoLC)889892141
-- (OCoLC)1121619059
-- (OCoLC)1166882354
-- (OCoLC)1170976193
040 ## - CATALOGING SOURCE
Original cataloging agency NUI
Language of cataloging eng
Description conventions rda
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050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.75
Item number .H37 2009
060 #4 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number Q325.75
Item number .H37 2009
072 #7 - SUBJECT CATEGORY CODE
Subject category code s1se
Source rero
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3122 HAS 2009
Edition number 23/eng/20221220
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hastie, Trevor.
Relator term author
245 14 - TITLE STATEMENT
Title The elements of statistical learning :
Remainder of title data mining, inference, and prediction /
Statement of responsibility, etc. Trevor Hastie, Robert Tibshirani, Jerome Friedman
250 ## - EDITION STATEMENT
Edition statement Second edition
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York :
Name of producer, publisher, distributor, manufacturer Springer,
Date of production, publication, distribution, manufacture, or copyright notice [2009]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2009
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 745 pages :
Other physical details illustrations (some color), charts ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
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338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
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340 ## - PHYSICAL MEDIUM
Color content monochrome
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Color content polychrome
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340 ## - PHYSICAL MEDIUM
Source rdaill
340 ## - PHYSICAL MEDIUM
Source rdaill
490 1# - SERIES STATEMENT
Series statement Springer series in statistics,
International Standard Serial Number 0172-7397
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 699-727) and indexes
505 00 - FORMATTED CONTENTS NOTE
Miscellaneous information 1.
Title Introduction --
Miscellaneous information 2.
Title Overview of supervised learning --
Miscellaneous information 3.
Title Linear methods for regression --
Miscellaneous information 4.
Title Linear methods for classification --
Miscellaneous information 5.
Title Basis expansions and regularization --
Miscellaneous information 6.
Title Kernel smoothing methods --
Miscellaneous information 7.
Title Model assessment and selection --
Miscellaneous information 8.
Title Model inference and averaging --
Miscellaneous information 9.
Title Additive models, trees, and related methods --
Miscellaneous information 10.
Title Boosting and additive trees --
Miscellaneous information 11.
Title Neural networks --
Miscellaneous information 12.
Title Support vector machines and flexible discriminants --
Miscellaneous information 13.
Title Prototype methods and nearest-neighbors --
Miscellaneous information 14.
Title Unsupervised learning --
Miscellaneous information 15.
Title Random forests --
Miscellaneous information 16.
Title Ensemble learning --
Miscellaneous information 17.
Title Undirected graphical models --
Miscellaneous information 18.
Title High-dimensional problems: p>> N
520 1# - SUMMARY, ETC.
Summary, etc. "During the past decade there has been an explosion in computation and information technology. With it have 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 to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates."--Publisher's description
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Supervised learning (Machine learning)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electronic data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biology
General subdivision Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational biology
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
General subdivision Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Learning
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing Methodologies
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Learning
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics as Topic
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational Biology
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining
655 #2 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Statistics
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Statistik.
Source of term gnd
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Statistics.
Source of term lcgft
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tibshirani, Robert,
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Friedman, J. H.
Fuller form of name (Jerome H.),
Relator term author.
Real World Object URI https://id.oclc.org/worldcat/entity/E39PBJtxcwfDT9wrQ8yjBhhPwC
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer series in statistics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Symbiosis International University, Dubai Symbiosis International University, Dubai 25/09/2024   006.3122 HAS 2009 SIU00521 25/09/2024 25/09/2024 Book
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