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    1. Home
    2. MARC view: An Introduction to Statistical Learning
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    An Introduction to Statistical Learning (Record no. 17999)

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    MARC details
    000 -LEADER
    fixed length control field 04143nam a22005415i 4500
    001 - CONTROL NUMBER
    control field 978-1-4614-7138-7
    003 - CONTROL NUMBER IDENTIFIER
    control field DE-He213
    005 - DATE AND TIME OF LATEST TRANSACTION
    control field 20200712171053.0
    007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
    fixed length control field cr nn 008mamaa
    008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
    fixed length control field 130625s2013 xxu| s |||| 0|eng d
    020 ## - INTERNATIONAL STANDARD BOOK NUMBER
    International Standard Book Number 9781461471387
    -- 978-1-4614-7138-7
    024 7# - OTHER STANDARD IDENTIFIER
    Standard number or code 10.1007/978-1-4614-7138-7
    Source of number or code doi
    050 #4 - LIBRARY OF CONGRESS CALL NUMBER
    Classification number QA276-280
    072 #7 - SUBJECT CATEGORY CODE
    Subject category code PBT
    Source bicssc
    072 #7 - SUBJECT CATEGORY CODE
    Subject category code MAT029000
    Source bisacsh
    072 #7 - SUBJECT CATEGORY CODE
    Subject category code PBT
    Source thema
    082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
    Classification number 519.5
    Edition number 23
    100 1# - MAIN ENTRY--PERSONAL NAME
    Personal name James, Gareth.
    Relator term author.
    Relator code aut
    -- http://id.loc.gov/vocabulary/relators/aut
    245 13 - TITLE STATEMENT
    Title An Introduction to Statistical Learning
    Medium [electronic resource] :
    Remainder of title with Applications in R /
    Statement of responsibility, etc by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
    250 ## - EDITION STATEMENT
    Edition statement 1st ed. 2013.
    264 #1 -
    -- New York, NY :
    -- Springer New York :
    -- Imprint: Springer,
    -- 2013.
    300 ## - PHYSICAL DESCRIPTION
    Extent XIV, 426 p. 556 illus.
    Other physical details online resource.
    336 ## -
    -- text
    -- txt
    -- rdacontent
    337 ## -
    -- computer
    -- c
    -- rdamedia
    338 ## -
    -- online resource
    -- cr
    -- rdacarrier
    347 ## -
    -- text file
    -- PDF
    -- rda
    490 1# - SERIES STATEMENT
    Series statement Springer Texts in Statistics,
    International Standard Serial Number 1431-875X ;
    Volume number/sequential designation 103
    505 0# - FORMATTED CONTENTS NOTE
    Formatted contents note Introduction -- Statistical Learning -- Linear Regression -- Classification -- Resampling Methods -- Linear Model Selection and Regularization -- Moving Beyond Linearity -- Tree-Based Methods -- Support Vector Machines -- Unsupervised Learning -- Index.
    520 ## - SUMMARY, ETC.
    Summary, etc An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element StatisticsĀ .
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Artificial intelligence.
    650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Statistical Theory and Methods.
    -- http://scigraph.springernature.com/things/product-market-codes/S11001
    650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Statistics and Computing/Statistics Programs.
    -- http://scigraph.springernature.com/things/product-market-codes/S12008
    650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Artificial Intelligence.
    -- http://scigraph.springernature.com/things/product-market-codes/I21000
    650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Statistics, general.
    -- http://scigraph.springernature.com/things/product-market-codes/S0000X
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Witten, Daniela.
    Relator term author.
    Relator code aut
    -- http://id.loc.gov/vocabulary/relators/aut
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Hastie, Trevor.
    Relator term author.
    Relator code aut
    -- http://id.loc.gov/vocabulary/relators/aut
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Tibshirani, Robert.
    Relator term author.
    Relator code aut
    -- http://id.loc.gov/vocabulary/relators/aut
    710 2# - ADDED ENTRY--CORPORATE NAME
    Corporate name or jurisdiction name as entry element SpringerLink (Online service)
    773 0# - HOST ITEM ENTRY
    Title Springer eBooks
    776 08 - ADDITIONAL PHYSICAL FORM ENTRY
    Display text Printed edition:
    International Standard Book Number 9781461471370
    776 08 - ADDITIONAL PHYSICAL FORM ENTRY
    Display text Printed edition:
    International Standard Book Number 9781461471394
    830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
    Uniform title Springer Texts in Statistics,
    -- 1431-875X ;
    Volume number/sequential designation 103
    856 40 - ELECTRONIC LOCATION AND ACCESS
    Uniform Resource Identifier <a href="https://doi.org/10.1007/978-1-4614-7138-7">https://doi.org/10.1007/978-1-4614-7138-7</a>
    912 ## -
    -- ZDB-2-SMA
    942 ## - ADDED ENTRY ELEMENTS (KOHA)
    Koha item type

    No items available.

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