Your cart is empty.
  • Home

    An introduction to statistical learning : (Record no. 6018)

    000 -LEADER
    fixed length control field 04319cam a2200613 i 4500
    001 - CONTROL NUMBER
    control field u11871
    003 - CONTROL NUMBER IDENTIFIER
    control field SA-PMU
    005 - DATE AND TIME OF LATEST TRANSACTION
    control field 20210418124049.0
    008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
    fixed length control field 160120t20152013nyua 001 0 eng c
    040 ## - CATALOGING SOURCE
    Original cataloging agency OCC
    Language of cataloging eng
    Description conventions rda
    Transcribing agency OCC
    Modifying agency OSU
    -- OCLCF
    -- USU
    -- TSC
    020 ## - INTERNATIONAL STANDARD BOOK NUMBER
    International Standard Book Number 9781461471370
    020 ## - INTERNATIONAL STANDARD BOOK NUMBER
    International Standard Book Number 1461471370
    035 ## - SYSTEM CONTROL NUMBER
    System control number (OCoLC)935355844
    042 ## - AUTHENTICATION CODE
    Authentication code pcc
    050 #4 - LIBRARY OF CONGRESS CALL NUMBER
    Classification number QA276
    Item number .I58 2015
    060 #4 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
    Classification number QA276
    Item number .I58 2015
    082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
    Classification number 519.5
    Edition number 23
    029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
    OCLC library identifier AU@
    System control number 000057908748
    245 03 - TITLE STATEMENT
    Title An introduction to statistical learning :
    Remainder of title with applications in R /
    Statement of responsibility, etc. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
    246 30 - VARYING FORM OF TITLE
    Title proper/short title Statistical learning
    250 ## - EDITION STATEMENT
    Edition statement [Corrected at 6th printing 2015].
    264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
    Place of production, publication, distribution, manufacture New York :
    Name of producer, publisher, distributor, manufacturer Springer :
    -- Springer Science+Business Media,
    Date of production, publication, distribution, manufacture, or copyright notice 2015.
    264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
    Date of production, publication, distribution, manufacture, or copyright notice ©2013
    300 ## - PHYSICAL DESCRIPTION
    Extent xiv, 426 pages :
    Other physical details illustrations (chiefly color) ;
    Dimensions 25 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
    Source rdamedia
    338 ## - CARRIER TYPE
    Carrier type term volume
    Carrier type code nc
    Source rdacarrier
    490 1# - SERIES STATEMENT
    Series statement Springer texts in statistics,
    International Standard Serial Number 1431-875X ;
    Volume/sequential designation 103
    500 ## - GENERAL NOTE
    General note Includes index.
    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.
    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. Provides tools for Statistical Learning that are essential for practitioners in science, industry and other fields. Analyses and methods are presented in R. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering. Extensive use of color graphics assist the reader"--Publisher description.
    596 ## -
    -- 1 2
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Mathematical statistics.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Mathematical models.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Mathematical statistics
    Form subdivision Problems, exercises, etc.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Mathematical models
    Form subdivision Problems, exercises, etc.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element R (Computer program language)
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Statistics.
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Mathematical models.
    Source of heading or term fast
    Authority record control number or standard number (OCoLC)fst01012085
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Mathematical statistics.
    Source of heading or term fast
    Authority record control number or standard number (OCoLC)fst01012127
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element R (Computer program language)
    Source of heading or term fast
    Authority record control number or standard number (OCoLC)fst01086207
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Statistics.
    Source of heading or term fast
    Authority record control number or standard number (OCoLC)fst01132103
    650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Models, Statistical.
    650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name entry element Statistics as Topic.
    655 #7 - INDEX TERM--GENRE/FORM
    Genre/form data or focus term Problems and exercises.
    Source of term fast
    Authority record control number or standard number (OCoLC)fst01423783
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name James, Gareth
    Fuller form of name (Gareth Michael),
    Relator term author.
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Witten, Daniela,
    Relator term author.
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Hastie, Trevor,
    Relator term author.
    700 1# - ADDED ENTRY--PERSONAL NAME
    Personal name Tibshirani, Robert,
    Relator term author.
    830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
    Uniform title Springer texts in statistics.
    942 ## - ADDED ENTRY ELEMENTS (KOHA)
    Koha item type Books
    994 ## -
    -- Z0
    -- SUPMU
    948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN)
    h (OCLC) NO HOLDINGS IN SUPMU - 36 OTHER HOLDINGS
    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 Copy number Price effective from Koha item type Public note
              Female Library Female Library 04/18/2021   QA276 .I58 2015 51952000318484 04/15/2021 1 04/15/2021 Books STACKS
              Main Library Main Library 04/18/2021   QA276 .I58 2015 51952000318491 04/15/2021 1 04/15/2021 Books STACKS