Verfügbarkeit: An introduction to statistical learning

An introduction to statistical learning: with applications in R

Gespeichert in:

Bibliographische Detailangaben
Beteilige Person:	James, Gareth (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	New York, NY [u.a.] Springer 2013
Schriftenreihe:	Springer texts in statistics 103
Schlagwörter:	Statistik R > Programm Maschinelles Lernen Einführung
Links:	https://ebookcentral.proquest.com/lib/hswt/detail.action?docID=6312402 https://doi.org/10.1007/978-1-4614-7138-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource
ISBN:	9781461471370 9781461471387
DOI:	10.1007/978-1-4614-7138-7

Internformat

MARC


LEADER	00000nam a2200000zcb4500
001	BV041219513
003	DE-604
005	20201110
007	cr\|uuu---uuuuu
008	130814s2013 xx o\|\|\|\| 00\|\|\| eng d
015			\|a 13,O07 \|2 dnb
016	7		\|a 1036416917 \|2 DE-101
020			\|a 9781461471370 \|9 978-1-4614-7137-0
020			\|a 9781461471387 \|c Online \|9 978-1-4614-7138-7
024	7		\|a 10.1007/978-1-4614-7138-7 \|2 doi
024	3		\|a 9781461471387
035			\|a (OCoLC)855544217
035			\|a (DE-599)DNB1036416917
040			\|a DE-604 \|b ger \|e rakddb
041	0		\|a eng
049			\|a DE-634 \|a DE-20 \|a DE-703 \|a DE-19 \|a DE-91 \|a DE-739 \|a DE-384 \|a DE-1028 \|a DE-83
082	0		\|a 519.5
084			\|a MAT 000 \|2 stub
084			\|a 610 \|2 sdnb
100	1		\|a James, Gareth \|e Verfasser \|0 (DE-588)1038457327 \|4 aut
245	1	0	\|a An introduction to statistical learning \|b with applications in R \|c Gareth James ...
264		1	\|a New York, NY [u.a.] \|b Springer \|c 2013
300			\|a 1 Online-Ressource
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
490	1		\|a Springer texts in statistics \|v 103
650	0	7	\|a Statistik \|0 (DE-588)4056995-0 \|2 gnd \|9 rswk-swf
650	0	7	\|a R \|g Programm \|0 (DE-588)4705956-4 \|2 gnd \|9 rswk-swf
650	0	7	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|2 gnd \|9 rswk-swf
655		7	\|8 1\p \|0 (DE-588)4151278-9 \|a Einführung \|2 gnd-content
689	0	0	\|a Statistik \|0 (DE-588)4056995-0 \|D s
689	0	1	\|a R \|g Programm \|0 (DE-588)4705956-4 \|D s
689	0		\|8 2\p \|5 DE-604
689	1	0	\|a Statistik \|0 (DE-588)4056995-0 \|D s
689	1	1	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	1		\|8 3\p \|5 DE-604
830		0	\|a Springer texts in statistics \|v 103 \|w (DE-604)BV040955643 \|9 103
856	4	0	\|u https://doi.org/10.1007/978-1-4614-7138-7 \|x Verlag \|3 Volltext
856	4	2	\|m Springer Fremddatenuebernahme \|q application/pdf \|u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA \|3 Inhaltsverzeichnis
856	4	2	\|m Springer Fremddatenuebernahme \|q application/pdf \|u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA \|3 Abstract
912			\|a ZDB-2-SMA
912			\|a ebook
912			\|a ZDB-30-PQE
883	1		\|8 1\p \|a cgwrk \|d 20201028 \|q DE-101 \|u https://d-nb.info/provenance/plan#cgwrk
883	1		\|8 2\p \|a cgwrk \|d 20201028 \|q DE-101 \|u https://d-nb.info/provenance/plan#cgwrk
883	1		\|8 3\p \|a cgwrk \|d 20201028 \|q DE-101 \|u https://d-nb.info/provenance/plan#cgwrk
943	1		\|a oai:aleph.bib-bvb.de:BVB01-026194106
966	e		\|u https://ebookcentral.proquest.com/lib/hswt/detail.action?docID=6312402 \|l DE-1028 \|p ZDB-30-PQE \|q FFW_Einzelkauf \|x Aggregator \|3 Volltext

Datensatz im Suchindex

DE-BY-TUM_katkey	1950829
_version_	1821935144076836864
adam_text	AN INTRODUCTION TO STATISTICAL LEARNING / JAMES, GARETH : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. AN INTRODUCTION TO STATISTICAL LEARNING / JAMES, GARETH : 2013 ABSTRACT / INHALTSTEXT 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
any_adam_object	1
author	James, Gareth
author_GND	(DE-588)1038457327
author_facet	James, Gareth
author_role	aut
author_sort	James, Gareth
author_variant	g j gj
building	Verbundindex
bvnumber	BV041219513
classification_tum	MAT 000
collection	ZDB-2-SMA ebook ZDB-30-PQE
ctrlnum	(OCoLC)855544217 (DE-599)DNB1036416917
dewey-full	519.5
dewey-hundreds	500 - Natural sciences and mathematics
dewey-ones	519 - Probabilities and applied mathematics
dewey-raw	519.5
dewey-search	519.5
dewey-sort	3519.5
dewey-tens	510 - Mathematics
discipline	Mathematik Medizin
doi_str_mv	10.1007/978-1-4614-7138-7
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02812nam a2200613zcb4500</leader><controlfield tag="001">BV041219513</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20201110 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">130814s2013 xx o\|\|\|\| 00\|\|\| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">13,O07</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1036416917</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461471370</subfield><subfield code="9">978-1-4614-7137-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461471387</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4614-7138-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4614-7138-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9781461471387</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)855544217</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1036416917</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-634</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-384</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">610</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">James, Gareth</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1038457327</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An introduction to statistical learning</subfield><subfield code="b">with applications in R</subfield><subfield code="c">Gareth James ...</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY [u.a.]</subfield><subfield code="b">Springer</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Springer texts in statistics</subfield><subfield code="v">103</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4151278-9</subfield><subfield code="a">Einführung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Springer texts in statistics</subfield><subfield code="v">103</subfield><subfield code="w">(DE-604)BV040955643</subfield><subfield code="9">103</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4614-7138-7</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Springer Fremddatenuebernahme</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Springer Fremddatenuebernahme</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-026194106</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hswt/detail.action?docID=6312402</subfield><subfield code="l">DE-1028</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FFW_Einzelkauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
genre	1\p (DE-588)4151278-9 Einführung gnd-content
genre_facet	Einführung
id	DE-604.BV041219513
illustrated	Not Illustrated
indexdate	2024-12-20T16:33:31Z
institution	BVB
isbn	9781461471370 9781461471387
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-026194106
oclc_num	855544217
open_access_boolean
owner	DE-634 DE-20 DE-703 DE-19 DE-BY-UBM DE-91 DE-BY-TUM DE-739 DE-384 DE-1028 DE-83
owner_facet	DE-634 DE-20 DE-703 DE-19 DE-BY-UBM DE-91 DE-BY-TUM DE-739 DE-384 DE-1028 DE-83
physical	1 Online-Ressource
psigel	ZDB-2-SMA ebook ZDB-30-PQE ZDB-30-PQE FFW_Einzelkauf
publishDate	2013
publishDateSearch	2013
publishDateSort	2013
publisher	Springer
record_format	marc
series	Springer texts in statistics
series2	Springer texts in statistics
spellingShingle	James, Gareth An introduction to statistical learning with applications in R Springer texts in statistics Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4056995-0 (DE-588)4705956-4 (DE-588)4193754-5 (DE-588)4151278-9
title	An introduction to statistical learning with applications in R
title_auth	An introduction to statistical learning with applications in R
title_exact_search	An introduction to statistical learning with applications in R
title_full	An introduction to statistical learning with applications in R Gareth James ...
title_fullStr	An introduction to statistical learning with applications in R Gareth James ...
title_full_unstemmed	An introduction to statistical learning with applications in R Gareth James ...
title_short	An introduction to statistical learning
title_sort	an introduction to statistical learning with applications in r
title_sub	with applications in R
topic	Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Statistik R Programm Maschinelles Lernen Einführung
url	https://doi.org/10.1007/978-1-4614-7138-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026194106&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV040955643
work_keys_str_mv	AT jamesgareth anintroductiontostatisticallearningwithapplicationsinr

Verfügbarkeit

Bestellen (Login erforderlich)

Inhaltsverzeichnis
Online lesen