Einführung in Machine Learning mit Python Praxiswissen Data Science
Gespeichert in:
Hauptverfasser: | , |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch E-Book |
Sprache: | German English |
Veröffentlicht: |
Heidelberg
O'Reilly
[2017]
|
Ausgabe: | 1. Auflage |
Schlagworte: | |
Online-Zugang: | BFB01 BHS01 BTW01 FAB01 FHA01 FHN01 FHR01 FWS01 FWS02 UBM01 UBT01 UEI03 |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV044548795 | ||
003 | DE-604 | ||
005 | 20220711 | ||
007 | cr|uuu---uuuuu | ||
008 | 171020s2017 gw |||| o||u| ||||||ger d | ||
020 | |a 9783960101116 |c PDF |9 978-3-96010-111-6 | ||
020 | |a 9783960101123 |c EPUB |9 978-3-96010-112-3 | ||
020 | |a 9783960101130 |c MOBI |9 978-3-96010-113-0 | ||
035 | |a (OCoLC)1003230058 | ||
035 | |a (DE-599)BVBBV044548795 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 1 | |a ger |h eng | |
044 | |a gw |c XA-DE-BW | ||
049 | |a DE-863 |a DE-862 |a DE-526 |a DE-1043 |a DE-19 |a DE-898 |a DE-703 |a DE-11 |a DE-522 |a DE-945 |a DE-92 |a DE-B768 | ||
082 | 0 | |a 005.133 |2 [22GER]; | |
082 | 0 | |a 006.31 |2 [22GER]; | |
082 | 0 | |a 004 |2 23 | |
084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
084 | |a 004 |2 sdnb | ||
084 | |a DAT 708f |2 stub | ||
084 | |a DAT 366f |2 stub | ||
100 | 1 | |a Müller, Andreas Christian |e Verfasser |0 (DE-588)1060129469 |4 aut | |
240 | 1 | 0 | |0 (DE-588)1136978844 |a Introduction to machine learning with Python |
245 | 1 | 0 | |a Einführung in Machine Learning mit Python |b Praxiswissen Data Science |c Andreas C. Müller und Sarah Guido ; deutsche Übersetzung von Kristian Rother |
250 | |a 1. Auflage | ||
264 | 1 | |a Heidelberg |b O'Reilly |c [2017] | |
264 | 4 | |c © 2017 | |
300 | |a 1 Online-Ressource (XIII, 362 Seiten) |b Ilustrationen, Diagramme (teilweise farbig) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
650 | 0 | 7 | |a Python 2.7 |0 (DE-588)7741095-6 |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 |g Programmiersprache |0 (DE-588)4434275-5 |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 Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Python 3.0 |0 (DE-588)7624871-9 |2 gnd |9 rswk-swf |
653 | |a Einsteiger in das Machine Learning mit Python-Grundkenntnissen | ||
653 | |a Unsewn / adhesive bound | ||
653 | |a Machine Learning | ||
653 | |a Python | ||
653 | |a Data Science | ||
653 | |a scikit-learn | ||
653 | |a Algorithmen | ||
653 | |a NumPy | ||
653 | |a matplotlib | ||
653 | |a KI | ||
653 | |a AI | ||
653 | |a Artificial Intelligence | ||
653 | |a Künstliche Intelligenz | ||
653 | |a Statistische Datenanalyse | ||
653 | |a Neuronale Netze | ||
653 | |a Deep Learning | ||
653 | |a Maschinelles Lernen | ||
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 | |5 DE-604 | |
689 | 1 | 0 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
689 | 1 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 1 | |8 1\p |5 DE-604 | |
700 | 1 | |a Guido, Sarah |e Verfasser |0 (DE-588)1117052265 |4 aut | |
700 | 1 | |a Rother, Kristian |d 1977- |0 (DE-588)133397068 |4 trl | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-96009-049-6 |w (DE-604)BV044394650 |
912 | |a ZDB-219-ODS |a ZDB-4-NLEBK |a ZDB-30-PQE |a ZDB-32-STB | ||
940 | 1 | |q ZDB-219-ODS19 | |
940 | 1 | |q BTW_PDA_PQE_KAUF | |
999 | |a oai:aleph.bib-bvb.de:BVB01-029947702 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u https://content-select.com/index.php?id=bib_view&ean=9783960101116 |l BFB01 |p ZDB-219-ODS |q BFB_Kauf |x Aggregator |3 Volltext | |
966 | e | |u https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03 |l BHS01 |p ZDB-219-ODS |x Aggregator |3 Volltext | |
966 | e | |u http://ebookcentral.proquest.com/lib/th-wildau/detail.action?docID=5102091 |l BTW01 |p ZDB-30-PQE |q BTW_PDA_PQE_KAUF |x Aggregator |3 Volltext | |
966 | e | |u https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03 |l FAB01 |p ZDB-219-ODS |x Aggregator |3 Volltext | |
966 | e | |u https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03 |l FHA01 |p ZDB-219-ODS |x Aggregator |3 Volltext | |
966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1620165 |l FHN01 |p ZDB-4-NLEBK |x Aggregator |3 Volltext | |
966 | e | |u https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03 |l FHR01 |p ZDB-219-ODS |q ZDB-219-ODS19 |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=5102091 |l FWS01 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=5102091 |l FWS02 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
966 | e | |u http://www.content-select.com/index.php?id=bib_view&ean=9783960101116 |l UBM01 |p ZDB-219-ODS |x Aggregator |3 Volltext | |
966 | e | |u https://content-select.com/index.php?id=bib_view&ean=9783960101116 |l UBT01 |p ZDB-219-ODS |x Aggregator |3 Volltext | |
966 | e | |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1620165 |l UEI03 |p ZDB-4-NLEBK |x Aggregator |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 663082 |
---|---|
_version_ | 1806182352361095168 |
any_adam_object | |
author | Müller, Andreas Christian Guido, Sarah |
author2 | Rother, Kristian 1977- |
author2_role | trl |
author2_variant | k r kr |
author_GND | (DE-588)1060129469 (DE-588)1117052265 (DE-588)133397068 |
author_facet | Müller, Andreas Christian Guido, Sarah Rother, Kristian 1977- |
author_role | aut aut |
author_sort | Müller, Andreas Christian |
author_variant | a c m ac acm s g sg |
building | Verbundindex |
bvnumber | BV044548795 |
classification_rvk | ST 250 ST 300 ST 530 |
classification_tum | DAT 708f DAT 366f |
collection | ZDB-219-ODS ZDB-4-NLEBK ZDB-30-PQE ZDB-32-STB |
ctrlnum | (OCoLC)1003230058 (DE-599)BVBBV044548795 |
dewey-full | 005.133 006.31 004 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security 006 - Special computer methods 004 - Computer science |
dewey-raw | 005.133 006.31 004 |
dewey-search | 005.133 006.31 004 |
dewey-sort | 15.133 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | 1. Auflage |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05091nmm a2201045 c 4500</leader><controlfield tag="001">BV044548795</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220711 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">171020s2017 gw |||| o||u| ||||||ger d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783960101116</subfield><subfield code="c">PDF</subfield><subfield code="9">978-3-96010-111-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783960101123</subfield><subfield code="c">EPUB</subfield><subfield code="9">978-3-96010-112-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783960101130</subfield><subfield code="c">MOBI</subfield><subfield code="9">978-3-96010-113-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1003230058</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044548795</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="1" ind2=" "><subfield code="a">ger</subfield><subfield code="h">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BW</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-526</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-522</subfield><subfield code="a">DE-945</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-B768</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">[22GER];</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">[22GER];</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</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 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 366f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Müller, Andreas Christian</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1060129469</subfield><subfield code="4">aut</subfield></datafield><datafield tag="240" ind1="1" ind2="0"><subfield code="0">(DE-588)1136978844</subfield><subfield code="a">Introduction to machine learning with Python</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Einführung in Machine Learning mit Python</subfield><subfield code="b">Praxiswissen Data Science</subfield><subfield code="c">Andreas C. Müller und Sarah Guido ; deutsche Übersetzung von Kristian Rother</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1. Auflage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Heidelberg</subfield><subfield code="b">O'Reilly</subfield><subfield code="c">[2017]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIII, 362 Seiten)</subfield><subfield code="b">Ilustrationen, Diagramme (teilweise farbig)</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">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="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</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">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">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">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="653" ind1=" " ind2=" "><subfield code="a">Einsteiger in das Machine Learning mit Python-Grundkenntnissen</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Unsewn / adhesive bound</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine Learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Python</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data Science</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scikit-learn</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Algorithmen</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NumPy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">matplotlib</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">KI</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Statistische Datenanalyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Neuronale Netze</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Deep Learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Maschinelles Lernen</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="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><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="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">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Guido, Sarah</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1117052265</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rother, Kristian</subfield><subfield code="d">1977-</subfield><subfield code="0">(DE-588)133397068</subfield><subfield code="4">trl</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">978-3-96009-049-6</subfield><subfield code="w">(DE-604)BV044394650</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-219-ODS</subfield><subfield code="a">ZDB-4-NLEBK</subfield><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-32-STB</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-219-ODS19</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">BTW_PDA_PQE_KAUF</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029947702</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="966" ind1="e" ind2=" "><subfield code="u">https://content-select.com/index.php?id=bib_view&ean=9783960101116</subfield><subfield code="l">BFB01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="q">BFB_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03</subfield><subfield code="l">BHS01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://ebookcentral.proquest.com/lib/th-wildau/detail.action?docID=5102091</subfield><subfield code="l">BTW01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">BTW_PDA_PQE_KAUF</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1620165</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://content-select.com/de/portal/media/view/5d5fc35a-9418-4aba-aab9-246bb0dd2d03</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="q">ZDB-219-ODS19</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/detail.action?docID=5102091</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/detail.action?docID=5102091</subfield><subfield code="l">FWS02</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">http://www.content-select.com/index.php?id=bib_view&ean=9783960101116</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://content-select.com/index.php?id=bib_view&ean=9783960101116</subfield><subfield code="l">UBT01</subfield><subfield code="p">ZDB-219-ODS</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1620165</subfield><subfield code="l">UEI03</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV044548795 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T12:55:19Z |
institution | BVB |
isbn | 9783960101116 9783960101123 9783960101130 |
language | German English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029947702 |
oclc_num | 1003230058 |
open_access_boolean | |
owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-526 DE-1043 DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-703 DE-11 DE-522 DE-945 DE-92 DE-B768 |
owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-526 DE-1043 DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-703 DE-11 DE-522 DE-945 DE-92 DE-B768 |
physical | 1 Online-Ressource (XIII, 362 Seiten) Ilustrationen, Diagramme (teilweise farbig) |
psigel | ZDB-219-ODS ZDB-4-NLEBK ZDB-30-PQE ZDB-32-STB ZDB-219-ODS19 BTW_PDA_PQE_KAUF ZDB-219-ODS BFB_Kauf ZDB-30-PQE BTW_PDA_PQE_KAUF ZDB-219-ODS ZDB-219-ODS19 |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | O'Reilly |
record_format | marc |
spellingShingle | Müller, Andreas Christian Guido, Sarah Einführung in Machine Learning mit Python Praxiswissen Data Science Python 2.7 (DE-588)7741095-6 gnd Datenanalyse (DE-588)4123037-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd Python 3.0 (DE-588)7624871-9 gnd |
subject_GND | (DE-588)7741095-6 (DE-588)4123037-1 (DE-588)4434275-5 (DE-588)4193754-5 (DE-588)4802620-7 (DE-588)7624871-9 |
title | Einführung in Machine Learning mit Python Praxiswissen Data Science |
title_GND | (DE-588)1136978844 |
title_alt | Introduction to machine learning with Python |
title_auth | Einführung in Machine Learning mit Python Praxiswissen Data Science |
title_exact_search | Einführung in Machine Learning mit Python Praxiswissen Data Science |
title_full | Einführung in Machine Learning mit Python Praxiswissen Data Science Andreas C. Müller und Sarah Guido ; deutsche Übersetzung von Kristian Rother |
title_fullStr | Einführung in Machine Learning mit Python Praxiswissen Data Science Andreas C. Müller und Sarah Guido ; deutsche Übersetzung von Kristian Rother |
title_full_unstemmed | Einführung in Machine Learning mit Python Praxiswissen Data Science Andreas C. Müller und Sarah Guido ; deutsche Übersetzung von Kristian Rother |
title_short | Einführung in Machine Learning mit Python |
title_sort | einfuhrung in machine learning mit python praxiswissen data science |
title_sub | Praxiswissen Data Science |
topic | Python 2.7 (DE-588)7741095-6 gnd Datenanalyse (DE-588)4123037-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd Python 3.0 (DE-588)7624871-9 gnd |
topic_facet | Python 2.7 Datenanalyse Python Programmiersprache Maschinelles Lernen Big Data Python 3.0 |
work_keys_str_mv | AT mullerandreaschristian introductiontomachinelearningwithpython AT guidosarah introductiontomachinelearningwithpython AT rotherkristian introductiontomachinelearningwithpython AT mullerandreaschristian einfuhrunginmachinelearningmitpythonpraxiswissendatascience AT guidosarah einfuhrunginmachinelearningmitpythonpraxiswissendatascience AT rotherkristian einfuhrunginmachinelearningmitpythonpraxiswissendatascience |