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An introduction to statistical learning : (Record no. 1476)

MARC details
000 -LEADER
fixed length control field	01891nam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field	MIUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20200219142858.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	170905s2013 nyua 001 \| eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9781461471370
040 ## - CATALOGING SOURCE
Original cataloging agency	MIUC
Language of cataloging	eng
Transcribing agency	MIUC
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	519.5
952 ## - Items
Itemnumber	1800
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.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	New York :
Name of publisher, distributor, etc.	Springer,
Date of publication, distribution, etc.	2013.
300 ## - PHYSICAL DESCRIPTION
Extent	xvi, 426 p. :
Other physical details	ill. b&w and col.
Dimensions	24 cm.
336 ## - CONTENT TYPE
Source	rdacontent
Content type term	text
490 1# - SERIES STATEMENT
Series statement	Springer texts in statistics,
International Standard Serial Number	1431875X ;
Volume/sequential designation	417
500 ## - GENERAL NOTE
General note	Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Ch. 1 Introduction -- <br/>Ch. 2 Statistical learning -- <br/>Ch. 3 Linear regression -- <br/>Ch. 4 Classification -- <br/>Ch. 5 Resampling methods -- <br/>Ch. 6 Linear model selection and regularization -- <br/>Ch. 7 Moving beyond linearity -- <br/>Ch. 8 Tree-based methods -- <br/>Ch. 9 Support vector machines -- <br/>Ch. 10 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN)	3159
Topical term or geographic name entry element	Mathematical statistics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN)	555
Topical term or geographic name entry element	Statistics
700 1# - ADDED ENTRY--PERSONAL NAME
Relator code	aut
9 (RLIN)	3173
Personal name	James, Gareth
Fuller form of name	(Gareth Michael)
700 1# - ADDED ENTRY--PERSONAL NAME
Relator code	aut
9 (RLIN)	3174
Personal name	Witten, Daniela
700 1# - ADDED ENTRY--PERSONAL NAME
Relator code	aut
9 (RLIN)	3158
Personal name	Hastie, Trevor
700 1# - ADDED ENTRY--PERSONAL NAME
Relator code	aut
9 (RLIN)	3162
Personal name	Tibshirani, Robert
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
9 (RLIN)	3164
Uniform title	Springer texts in statistics
Volume/sequential designation	417
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Dewey Decimal Classification
Koha item type	Books

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Home library	Current library	Shelving location	Date acquired	Total Checkouts	Total Renewals	Full call number	Date last seen	Date last checked out	Price effective from	Koha item type
		Dewey Decimal Classification			Marbella International University Centre	Marbella International University Centre	Library	22/10/2018	1	2	519.5 INT int	04/06/2020	24/02/2020	22/10/2018	Books