An introduction to statistical learning : (Record no. 31561)

MARC details
000 -LEADER
fixed length control field 01959nam a22002897a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260314233858.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260314b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031391897
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50285 T23
Item number JAM W
100 0# - MAIN ENTRY--AUTHOR NAME
Personal name James, Gareth
245 13 - TITLE STATEMENT
Title An introduction to statistical learning :
Remainder of title with applications in python / by
Statement of responsibility, etc Gareth James [et.al.]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland :
Name of publisher Springer,
Year of publication 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvi, 426 p.
500 ## - GENERAL NOTE
General note Includes 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, deep learning, survival analysis, multiple testing, 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. - Taken from publisher's website
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical statistics
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical models
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical statistics
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical models
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer program language
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Witten, Daniela
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hastie, Trevor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tibshirani, Robert
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Lost status Damaged status Permanent Location Current Location Shelving location Date acquired Full call number Accession Number last updated Koha item type
    Nalanda Library Nalanda Library Circulation Books 14/03/2026 519.50285 T23 JAM W 22817 14/03/2026 Books