Verfügbarkeit: Automated machine learning for business

Automated machine learning for business:

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Larsen, Kai R. (VerfasserIn), Becker, Daniel S. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New York, NY Oxford University Press [2021]
Schlagworte:	Maschinelles Lernen Data Science Automation Unternehmen
Online-Zugang:	EUV01 FWS01 FWS02 UBR01
Beschreibung:	1 Online-Ressource (xvii, 328 Seiten) Illustrationen, Diagramme
ISBN:	9780190941680 9780197601495

Internformat

MARC


LEADER	00000nmm a2200000 c 4500
001	BV047402055
003	DE-604
005	20231030
007	cr\|uuu---uuuuu
008	210805s2021 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
020			\|a 9780190941680 \|9 978-0-19-094168-0
020			\|a 9780197601495 \|9 978-0-19-760149-5
024	7		\|a 10.1093/oso/9780190941659.001.0001 \|2 doi
035			\|a (OCoLC)1263259524
035			\|a (DE-599)BVBBV047402055
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-355 \|a DE-B170 \|a DE-521 \|a DE-863 \|a DE-862
084			\|a ST 300 \|0 (DE-625)143650: \|2 rvk
084			\|a QP 345 \|0 (DE-625)141866: \|2 rvk
100	1		\|a Larsen, Kai R. \|e Verfasser \|0 (DE-588)1241218730 \|4 aut
245	1	0	\|a Automated machine learning for business \|c Kai R. Larsen and Daniel S. Becker
264		1	\|a New York, NY \|b Oxford University Press \|c [2021]
264		4	\|c © 2021
300			\|a 1 Online-Ressource (xvii, 328 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
650	0	7	\|a Data Science \|0 (DE-588)1140936166 \|2 gnd \|9 rswk-swf
650	0	7	\|a Automation \|0 (DE-588)4003957-2 \|2 gnd \|9 rswk-swf
650	0	7	\|a Unternehmen \|0 (DE-588)4061963-1 \|2 gnd \|9 rswk-swf
689	0	0	\|a Unternehmen \|0 (DE-588)4061963-1 \|D s
689	0	1	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	0	2	\|a Automation \|0 (DE-588)4003957-2 \|D s
689	0	3	\|a Data Science \|0 (DE-588)1140936166 \|D s
689	0		\|5 DE-604
700	1		\|a Becker, Daniel S. \|e Verfasser \|0 (DE-588)1241218900 \|4 aut
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe, Hardcover \|z 978-0-19-094165-9
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe, Paperback \|z 978-0-19-094166-6
912			\|a ZDB-30-PQE \|a ZDB-28-OSA
999			\|a oai:aleph.bib-bvb.de:BVB01-032803121
966	e		\|u https://ebookcentral.proquest.com/lib/viadrina-ebooks/detail.action?docID=6614646 \|l EUV01 \|p ZDB-30-PQE \|q EUV_EK_EBC \|x Aggregator \|3 Volltext
966	e		\|u https://academic.oup.com/book/40037 \|l FWS01 \|p ZDB-28-OSA \|x Verlag \|3 Volltext
966	e		\|u https://academic.oup.com/book/40037 \|l FWS02 \|p ZDB-28-OSA \|x Verlag \|3 Volltext
966	e		\|u https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=6614646 \|l UBR01 \|p ZDB-30-PQE \|q UBR_Einzelkauf 2021 \|x Aggregator \|3 Volltext

Datensatz im Suchindex

DE-BY-FWS_katkey	1056398
_version_	1806175441490280448
adam_txt
any_adam_object
any_adam_object_boolean
author	Larsen, Kai R. Becker, Daniel S.
author_GND	(DE-588)1241218730 (DE-588)1241218900
author_facet	Larsen, Kai R. Becker, Daniel S.
author_role	aut aut
author_sort	Larsen, Kai R.
author_variant	k r l kr krl d s b ds dsb
building	Verbundindex
bvnumber	BV047402055
classification_rvk	ST 300 QP 345
collection	ZDB-30-PQE ZDB-28-OSA
ctrlnum	(OCoLC)1263259524 (DE-599)BVBBV047402055
discipline	Informatik Wirtschaftswissenschaften
discipline_str_mv	Informatik Wirtschaftswissenschaften
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02332nmm a2200517 c 4500</leader><controlfield tag="001">BV047402055</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20231030 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">210805s2021 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780190941680</subfield><subfield code="9">978-0-19-094168-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780197601495</subfield><subfield code="9">978-0-19-760149-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1093/oso/9780190941659.001.0001</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1263259524</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047402055</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-355</subfield><subfield code="a">DE-B170</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</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">QP 345</subfield><subfield code="0">(DE-625)141866:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Larsen, Kai R.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1241218730</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Automated machine learning for business</subfield><subfield code="c">Kai R. Larsen and Daniel S. Becker</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Oxford University Press</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xvii, 328 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="650" ind1="0" ind2="7"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Automation</subfield><subfield code="0">(DE-588)4003957-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Unternehmen</subfield><subfield code="0">(DE-588)4061963-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Unternehmen</subfield><subfield code="0">(DE-588)4061963-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" 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="0" ind2="2"><subfield code="a">Automation</subfield><subfield code="0">(DE-588)4003957-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</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">Becker, Daniel S.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1241218900</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">978-0-19-094165-9</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">978-0-19-094166-6</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-28-OSA</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032803121</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/viadrina-ebooks/detail.action?docID=6614646</subfield><subfield code="l">EUV01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">EUV_EK_EBC</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://academic.oup.com/book/40037</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-28-OSA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://academic.oup.com/book/40037</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-28-OSA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=6614646</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UBR_Einzelkauf 2021</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
id	DE-604.BV047402055
illustrated	Not Illustrated
index_date	2024-07-03T17:52:52Z
indexdate	2024-08-01T11:05:28Z
institution	BVB
isbn	9780190941680 9780197601495
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-032803121
oclc_num	1263259524
open_access_boolean
owner	DE-355 DE-BY-UBR DE-B170 DE-521 DE-863 DE-BY-FWS DE-862 DE-BY-FWS
owner_facet	DE-355 DE-BY-UBR DE-B170 DE-521 DE-863 DE-BY-FWS DE-862 DE-BY-FWS
physical	1 Online-Ressource (xvii, 328 Seiten) Illustrationen, Diagramme
psigel	ZDB-30-PQE ZDB-28-OSA ZDB-30-PQE EUV_EK_EBC ZDB-30-PQE UBR_Einzelkauf 2021
publishDate	2021
publishDateSearch	2021
publishDateSort	2021
publisher	Oxford University Press
record_format	marc
spellingShingle	Larsen, Kai R. Becker, Daniel S. Automated machine learning for business Maschinelles Lernen (DE-588)4193754-5 gnd Data Science (DE-588)1140936166 gnd Automation (DE-588)4003957-2 gnd Unternehmen (DE-588)4061963-1 gnd
subject_GND	(DE-588)4193754-5 (DE-588)1140936166 (DE-588)4003957-2 (DE-588)4061963-1
title	Automated machine learning for business
title_auth	Automated machine learning for business
title_exact_search	Automated machine learning for business
title_exact_search_txtP	Automated machine learning for business
title_full	Automated machine learning for business Kai R. Larsen and Daniel S. Becker
title_fullStr	Automated machine learning for business Kai R. Larsen and Daniel S. Becker
title_full_unstemmed	Automated machine learning for business Kai R. Larsen and Daniel S. Becker
title_short	Automated machine learning for business
title_sort	automated machine learning for business
topic	Maschinelles Lernen (DE-588)4193754-5 gnd Data Science (DE-588)1140936166 gnd Automation (DE-588)4003957-2 gnd Unternehmen (DE-588)4061963-1 gnd
topic_facet	Maschinelles Lernen Data Science Automation Unternehmen
work_keys_str_mv	AT larsenkair automatedmachinelearningforbusiness AT beckerdaniels automatedmachinelearningforbusiness

Verfügbarkeit

Volltext öffnen

MARC

Datensatz im Suchindex

Ähnliche Einträge