Verfügbarkeit: Machine learning for dummies

Machine learning for dummies:

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Mueller, John Paul 1958- (VerfasserIn), Massaron, Luca (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Hoboken, NJ John Wiley & Sons, Inc. [2016]
Schriftenreihe:	For dummies
Schlagworte:	Machine learning Big Data R > Programm Maschinelles Lernen Python > Programmiersprache Python 3.0 Datenanalyse Python 2.7
Online-Zugang:	FWS01 FWS02 Volltext
Beschreibung:	Description based on online resource; title from title page (Safari, viewed June 30, 2016)
Beschreibung:	1 online resource (435 Seiten) Illustrationen
ISBN:	111924577X 9781119245759 9781119245773

Internformat

MARC


LEADER	00000nmm a2200000zc 4500
001	BV043969664
003	DE-604
005	20170921
007	cr\|uuu---uuuuu
008	161219s2016 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d
020			\|a 111924577X \|9 1-119-24577-X
020			\|a 9781119245759 \|9 978-1-119-24575-9
020			\|a 9781119245773 \|9 978-1-119-24577-3
035			\|a (ZDB-32-STB)ocn953123744
035			\|a (OCoLC)949758901
035			\|a (DE-599)BVBBV043969664
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-863 \|a DE-862
082	0		\|a 006.31 \|2 23
084			\|a ST 300 \|0 (DE-625)143650: \|2 rvk
100	1		\|a Mueller, John Paul \|d 1958- \|e Verfasser \|0 (DE-588)137976984 \|4 aut
245	1	0	\|a Machine learning for dummies \|c by John Paul Mueller and Luca Massaron
264		1	\|a Hoboken, NJ \|b John Wiley & Sons, Inc. \|c [2016]
264		4	\|c 2016
300			\|a 1 online resource (435 Seiten) \|b Illustrationen
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
490	0		\|a For dummies
500			\|a Description based on online resource; title from title page (Safari, viewed June 30, 2016)
650		4	\|a Machine learning
650	0	7	\|a Big Data \|0 (DE-588)4802620-7 \|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
650	0	7	\|a Python \|g Programmiersprache \|0 (DE-588)4434275-5 \|2 gnd \|9 rswk-swf
650	0	7	\|a Python 3.0 \|0 (DE-588)7624871-9 \|2 gnd \|9 rswk-swf
650	0	7	\|a Datenanalyse \|0 (DE-588)4123037-1 \|2 gnd \|9 rswk-swf
650	0	7	\|a Python 2.7 \|0 (DE-588)7741095-6 \|2 gnd \|9 rswk-swf
689	0	0	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	0	1	\|a Datenanalyse \|0 (DE-588)4123037-1 \|D s
689	0	2	\|a Big Data \|0 (DE-588)4802620-7 \|D s
689	0	3	\|a Python 2.7 \|0 (DE-588)7741095-6 \|D s
689	0	4	\|a Python 3.0 \|0 (DE-588)7624871-9 \|D s
689	0		\|8 1\p \|5 DE-604
689	1	0	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	1	1	\|a Python \|g Programmiersprache \|0 (DE-588)4434275-5 \|D s
689	1	2	\|a R \|g Programm \|0 (DE-588)4705956-4 \|D s
689	1		\|8 2\p \|5 DE-604
689	2	0	\|a Maschinelles Lernen \|0 (DE-588)4193754-5 \|D s
689	2	1	\|a Python 2.7 \|0 (DE-588)7741095-6 \|D s
689	2	2	\|a R \|g Programm \|0 (DE-588)4705956-4 \|D s
689	2		\|8 3\p \|5 DE-604
700	1		\|a Massaron, Luca \|0 (DE-588)1104968622 \|4 aut
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-1-119-24551-3
856	4	0	\|u http://proquest.tech.safaribooksonline.de/9781119245513 \|x Aggregator \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-30-PQE \|a ZDB-32-STB
999			\|a oai:aleph.bib-bvb.de:BVB01-029378253
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
966	e		\|u https://ebookcentral.proquest.com/lib/fhws/reader.action?docID=4526803 \|l FWS01 \|p ZDB-30-PQE \|x Aggregator \|3 Volltext
966	e		\|u https://ebookcentral.proquest.com/lib/fhws/reader.action?docID=4526803 \|l FWS02 \|p ZDB-30-PQE \|x Aggregator \|3 Volltext

Datensatz im Suchindex

DE-BY-FWS_katkey	657634
_version_	1806181942814572544
any_adam_object
author	Mueller, John Paul 1958- Massaron, Luca
author_GND	(DE-588)137976984 (DE-588)1104968622
author_facet	Mueller, John Paul 1958- Massaron, Luca
author_role	aut aut
author_sort	Mueller, John Paul 1958-
author_variant	j p m jp jpm l m lm
building	Verbundindex
bvnumber	BV043969664
classification_rvk	ST 300
collection	ZDB-30-PQE ZDB-32-STB
ctrlnum	(ZDB-32-STB)ocn953123744 (OCoLC)949758901 (DE-599)BVBBV043969664
dewey-full	006.31
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
dewey-raw	006.31
dewey-search	006.31
dewey-sort	16.31
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03130nmm a2200721zc 4500</leader><controlfield tag="001">BV043969664</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20170921 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">161219s2016 \|\|\|\| o\|\|u\| \|\|\|\|\|\|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">111924577X</subfield><subfield code="9">1-119-24577-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119245759</subfield><subfield code="9">978-1-119-24575-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119245773</subfield><subfield code="9">978-1-119-24577-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-32-STB)ocn953123744</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)949758901</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043969664</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-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.31</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="100" ind1="1" ind2=" "><subfield code="a">Mueller, John Paul</subfield><subfield code="d">1958-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)137976984</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning for dummies</subfield><subfield code="c">by John Paul Mueller and Luca Massaron</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">John Wiley & Sons, Inc.</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (435 Seiten)</subfield><subfield code="b">Illustrationen</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="0" ind2=" "><subfield code="a">For dummies</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from title page (Safari, viewed June 30, 2016)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</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="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python 3.0</subfield><subfield code="0">(DE-588)7624871-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python 2.7</subfield><subfield code="0">(DE-588)7741095-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Python 2.7</subfield><subfield code="0">(DE-588)7741095-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Python 3.0</subfield><subfield code="0">(DE-588)7624871-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" 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="1" ind2="1"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><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="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" 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="2" ind2="1"><subfield code="a">Python 2.7</subfield><subfield code="0">(DE-588)7741095-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="2"><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="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Massaron, Luca</subfield><subfield code="0">(DE-588)1104968622</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</subfield><subfield code="z">978-1-119-24551-3</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://proquest.tech.safaribooksonline.de/9781119245513</subfield><subfield code="x">Aggregator</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-32-STB</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029378253</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="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fhws/reader.action?docID=4526803</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fhws/reader.action?docID=4526803</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
id	DE-604.BV043969664
illustrated	Not Illustrated
indexdate	2024-08-01T12:48:48Z
institution	BVB
isbn	111924577X 9781119245759 9781119245773
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-029378253
oclc_num	953123744 949758901
open_access_boolean
owner	DE-863 DE-BY-FWS DE-862 DE-BY-FWS
owner_facet	DE-863 DE-BY-FWS DE-862 DE-BY-FWS
physical	1 online resource (435 Seiten) Illustrationen
psigel	ZDB-30-PQE ZDB-32-STB
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	John Wiley & Sons, Inc.
record_format	marc
series2	For dummies
spellingShingle	Mueller, John Paul 1958- Massaron, Luca Machine learning for dummies Machine learning Big Data (DE-588)4802620-7 gnd R Programm (DE-588)4705956-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd Python 3.0 (DE-588)7624871-9 gnd Datenanalyse (DE-588)4123037-1 gnd Python 2.7 (DE-588)7741095-6 gnd
subject_GND	(DE-588)4802620-7 (DE-588)4705956-4 (DE-588)4193754-5 (DE-588)4434275-5 (DE-588)7624871-9 (DE-588)4123037-1 (DE-588)7741095-6
title	Machine learning for dummies
title_auth	Machine learning for dummies
title_exact_search	Machine learning for dummies
title_full	Machine learning for dummies by John Paul Mueller and Luca Massaron
title_fullStr	Machine learning for dummies by John Paul Mueller and Luca Massaron
title_full_unstemmed	Machine learning for dummies by John Paul Mueller and Luca Massaron
title_short	Machine learning for dummies
title_sort	machine learning for dummies
topic	Machine learning Big Data (DE-588)4802620-7 gnd R Programm (DE-588)4705956-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd Python 3.0 (DE-588)7624871-9 gnd Datenanalyse (DE-588)4123037-1 gnd Python 2.7 (DE-588)7741095-6 gnd
topic_facet	Machine learning Big Data R Programm Maschinelles Lernen Python Programmiersprache Python 3.0 Datenanalyse Python 2.7
url	http://proquest.tech.safaribooksonline.de/9781119245513
work_keys_str_mv	AT muellerjohnpaul machinelearningfordummies AT massaronluca machinelearningfordummies

Verfügbarkeit

Volltext öffnen

MARC

Datensatz im Suchindex

Ähnliche Einträge