Verfügbarkeit: Understanding machine learning

Understanding machine learning: from theory to algorithms

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Shalev-Shwartz, Shai 1975- (VerfasserIn), Ben-David, Shai (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New York, NY Cambrige University Press [2014]
Schlagworte:	Maschinelles Lernen Lehrbuch
Online-Zugang:	BSB01 FHN01 FUBA1 FWS01 FWS02 TUM01 UBM01 UBT01 UEI03 UER01 UPA01 Volltext
Beschreibung:	1 Online-Ressource (xvi, 397 Seiten) Illustrationen, Diagramme
ISBN:	9781107298019
DOI:	10.1017/CBO9781107298019

Internformat

MARC


LEADER	00000nmm a2200000 c 4500
001	BV043942708
003	DE-604
005	20231204
007	cr\|uuu---uuuuu
008	161206s2014 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
020			\|a 9781107298019 \|c Online \|9 978-1-107-29801-9
024	7		\|a 10.1017/CBO9781107298019 \|2 doi
035			\|a (ZDB-20-CBO)CR9781107298019
035			\|a (OCoLC)992868023
035			\|a (DE-599)BVBBV043942708
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-12 \|a DE-703 \|a DE-29 \|a DE-92 \|a DE-19 \|a DE-739 \|a DE-83 \|a DE-863 \|a DE-862 \|a DE-945 \|a DE-188 \|a DE-11 \|a DE-91
082	0		\|a 006.3/1 \|2 23
084			\|a ST 300 \|0 (DE-625)143650: \|2 rvk
084			\|a ST 302 \|0 (DE-625)143652: \|2 rvk
100	1		\|a Shalev-Shwartz, Shai \|d 1975- \|e Verfasser \|0 (DE-588)1054825882 \|4 aut
245	1	0	\|a Understanding machine learning \|b from theory to algorithms \|c Shai Shalev-Shwartz (The Hebrew University, Jerusalem), Shai Ben-David (University of Waterloo, Canada)
264		1	\|a New York, NY \|b Cambrige University Press \|c [2014]
264		4	\|c © 2014
300			\|a 1 Online-Ressource (xvi, 397 Seiten) \|b Illustrationen, Diagramme
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
650	0	7	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|2 gnd \|9 rswk-swf
655		7	\|0 (DE-588)4123623-3 \|a Lehrbuch \|2 gnd-content
689	0	0	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	0		\|5 DE-604
700	1		\|a Ben-David, Shai \|e Verfasser \|0 (DE-588)1129370623 \|4 aut
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe, Hardcover \|z 978-1-107-05713-5
856	4	0	\|u https://doi.org/10.1017/CBO9781107298019 \|x Verlag \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-20-CBO
999			\|a oai:aleph.bib-bvb.de:BVB01-029351678
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l BSB01 \|p ZDB-20-CBO \|q BSB_PDA_CBO_Kauf \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l FHN01 \|p ZDB-20-CBO \|q FHN_PDA_CBO_Kauf \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l FUBA1 \|p ZDB-20-CBO \|q ZDB-20-CBO 2021 \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l FWS01 \|p ZDB-20-CBO \|q FHN_PDA_CBO \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l FWS02 \|p ZDB-20-CBO \|q FHN_PDA_CBO \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l TUM01 \|p ZDB-20-CBO \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l UBM01 \|p ZDB-20-CBO \|q UBM_PDA_CBO_Kauf \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l UBT01 \|p ZDB-20-CBO \|q UBT_PDA_CBO_Kauf \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l UEI03 \|p ZDB-20-CBO \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l UER01 \|p ZDB-20-CBO \|q UER_PDA_CBO_Kauf \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1017/CBO9781107298019 \|l UPA01 \|p ZDB-20-CBO \|q UPA_PDA_CBO_Kauf2019 \|x Verlag \|3 Volltext

Datensatz im Suchindex

DE-BY-FWS_katkey	954024
_version_	1806194936089935872
any_adam_object
author	Shalev-Shwartz, Shai 1975- Ben-David, Shai
author_GND	(DE-588)1054825882 (DE-588)1129370623
author_facet	Shalev-Shwartz, Shai 1975- Ben-David, Shai
author_role	aut aut
author_sort	Shalev-Shwartz, Shai 1975-
author_variant	s s s sss s b d sbd
building	Verbundindex
bvnumber	BV043942708
classification_rvk	ST 300 ST 302
collection	ZDB-20-CBO
ctrlnum	(ZDB-20-CBO)CR9781107298019 (OCoLC)992868023 (DE-599)BVBBV043942708
dewey-full	006.3/1
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
dewey-raw	006.3/1
dewey-search	006.3/1
dewey-sort	16.3 11
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
doi_str_mv	10.1017/CBO9781107298019
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02929nmm a2200553 c 4500</leader><controlfield tag="001">BV043942708</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20231204 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">161206s2014 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781107298019</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-107-29801-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/CBO9781107298019</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9781107298019</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)992868023</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043942708</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-945</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 302</subfield><subfield code="0">(DE-625)143652:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Shalev-Shwartz, Shai</subfield><subfield code="d">1975-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1054825882</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Understanding machine learning</subfield><subfield code="b">from theory to algorithms</subfield><subfield code="c">Shai Shalev-Shwartz (The Hebrew University, Jerusalem), Shai Ben-David (University of Waterloo, Canada)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Cambrige University Press</subfield><subfield code="c">[2014]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xvi, 397 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</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="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="0">(DE-588)4123623-3</subfield><subfield code="a">Lehrbuch</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ben-David, Shai</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1129370623</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-1-107-05713-5</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029351678</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">FUBA1</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">ZDB-20-CBO 2021</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UBM_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">UBT01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UBT_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">UEI03</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UER_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781107298019</subfield><subfield code="l">UPA01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UPA_PDA_CBO_Kauf2019</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
genre	(DE-588)4123623-3 Lehrbuch gnd-content
genre_facet	Lehrbuch
id	DE-604.BV043942708
illustrated	Not Illustrated
indexdate	2024-08-01T16:15:20Z
institution	BVB
isbn	9781107298019
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-029351678
oclc_num	992868023
open_access_boolean
owner	DE-12 DE-703 DE-29 DE-92 DE-19 DE-BY-UBM DE-739 DE-83 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-945 DE-188 DE-11 DE-91 DE-BY-TUM
owner_facet	DE-12 DE-703 DE-29 DE-92 DE-19 DE-BY-UBM DE-739 DE-83 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-945 DE-188 DE-11 DE-91 DE-BY-TUM
physical	1 Online-Ressource (xvi, 397 Seiten) Illustrationen, Diagramme
psigel	ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO_Kauf ZDB-20-CBO FHN_PDA_CBO_Kauf ZDB-20-CBO ZDB-20-CBO 2021 ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO UBM_PDA_CBO_Kauf ZDB-20-CBO UBT_PDA_CBO_Kauf ZDB-20-CBO UER_PDA_CBO_Kauf ZDB-20-CBO UPA_PDA_CBO_Kauf2019
publishDate	2014
publishDateSearch	2014
publishDateSort	2014
publisher	Cambrige University Press
record_format	marc
spellingShingle	Shalev-Shwartz, Shai 1975- Ben-David, Shai Understanding machine learning from theory to algorithms Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4123623-3
title	Understanding machine learning from theory to algorithms
title_auth	Understanding machine learning from theory to algorithms
title_exact_search	Understanding machine learning from theory to algorithms
title_full	Understanding machine learning from theory to algorithms Shai Shalev-Shwartz (The Hebrew University, Jerusalem), Shai Ben-David (University of Waterloo, Canada)
title_fullStr	Understanding machine learning from theory to algorithms Shai Shalev-Shwartz (The Hebrew University, Jerusalem), Shai Ben-David (University of Waterloo, Canada)
title_full_unstemmed	Understanding machine learning from theory to algorithms Shai Shalev-Shwartz (The Hebrew University, Jerusalem), Shai Ben-David (University of Waterloo, Canada)
title_short	Understanding machine learning
title_sort	understanding machine learning from theory to algorithms
title_sub	from theory to algorithms
topic	Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Maschinelles Lernen Lehrbuch
url	https://doi.org/10.1017/CBO9781107298019
work_keys_str_mv	AT shalevshwartzshai understandingmachinelearningfromtheorytoalgorithms AT bendavidshai understandingmachinelearningfromtheorytoalgorithms

Verfügbarkeit

Volltext öffnen

MARC

Datensatz im Suchindex

Ähnliche Einträge