Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn: das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics
Saved in:
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | German English |
| Published: |
Frechen
mitp
2021
|
| Edition: | 3., aktualisierte und erweiterte Auflage |
| Subjects: | |
| Online Access: | FCO01 FHM01 FLA01 FWS01 FWS02 UBR01 UER01 |
| Physical Description: | 1 Online-Ressource (759 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783747502143 9783747502150 |
Staff View
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047228995 | ||
| 003 | DE-604 | ||
| 005 | 20220823 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210407s2021 |||| o||u| ||||||ger d | ||
| 020 | |a 9783747502143 |c Online, ePDF |9 978-3-7475-0214-3 | ||
| 020 | |a 9783747502150 |c Online, ePub |9 978-3-7475-0215-0 | ||
| 035 | |a (ZDB-30-PQE)EBC6510615 | ||
| 035 | |a (ZDB-4-NLEBK)NLEBK2764416 | ||
| 035 | |a (OCoLC)1241451992 | ||
| 035 | |a (DE-599)HBZHT020877906 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 1 | |a ger |h eng | |
| 049 | |a DE-M347 |a DE-29 |a DE-863 |a DE-862 |a DE-355 |a DE-83 |a DE-858 |a DE-860 |a DE-11 | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |a ST 302 |0 (DE-625)143652: |2 rvk | ||
| 084 | |a 004 |2 sdnb | ||
| 100 | 1 | |a Raschka, Sebastian |e Verfasser |0 (DE-588)1080537872 |4 aut | |
| 240 | 1 | 0 | |a Python machine learning |
| 245 | 1 | 0 | |a Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn |b das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics |c Sebastian Raschka, Vahid Mirjalili ; Übersetzung aus dem Amerikanischen von Knut Lorenzen |
| 250 | |a 3., aktualisierte und erweiterte Auflage | ||
| 264 | 1 | |a Frechen |b mitp |c 2021 | |
| 300 | |a 1 Online-Ressource (759 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |c 2021 |f PENW |5 DE-5 | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python 3.6 |0 (DE-588)113674746X |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 Keras |g Framework, Informatik |0 (DE-588)1160521077 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a TensorFlow |0 (DE-588)1153577011 |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 Cluster-Analyse |0 (DE-588)4070044-6 |2 gnd |9 rswk-swf |
| 653 | |a algorithmen | ||
| 653 | |a big data | ||
| 653 | |a clusteranalyse | ||
| 653 | |a data science | ||
| 653 | |a datenanalyse | ||
| 653 | |a datenverarbeitung | ||
| 653 | |a deep learning | ||
| 653 | |a machine learning | ||
| 653 | |a mitp | ||
| 653 | |a neuronale netze | ||
| 653 | |a numpy | ||
| 653 | |a predictive analytics | ||
| 653 | |a Python | ||
| 653 | |a regressionsanalyse | ||
| 653 | |a scikit learn | ||
| 653 | |a scipy | ||
| 653 | |a sentiment analyse | ||
| 653 | |a tensorflow | ||
| 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 3.6 |0 (DE-588)113674746X |D s |
| 689 | 0 | 4 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 5 | |a TensorFlow |0 (DE-588)1153577011 |D s |
| 689 | 0 | 6 | |a Keras |g Framework, Informatik |0 (DE-588)1160521077 |D s |
| 689 | 0 | 7 | |a Cluster-Analyse |0 (DE-588)4070044-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Mirjalili, Vahid |e Verfasser |0 (DE-588)1147615993 |4 aut | |
| 700 | 1 | |a Lorenzen, Knut |0 (DE-588)1020241446 |4 trl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-7475-0213-6 |
| 780 | 0 | 0 | |i Vorangegangen ist |z 9783958457331 |
| 912 | |a ZDB-213-MPE |a ZDB-30-PQE |a ZDB-4-NLEBK |a ZDB-213-MIP | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032633514 | ||
| 966 | e | |u https://ebookcentral.proquest.com/lib/hs-coburg/detail.action?docID=6510615 |l FCO01 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/hm-bib/detail.action?docID=6510615 |l FHM01 |p ZDB-30-PQE |q Einzelkauf |x Aggregator |3 Volltext | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2764416 |l FLA01 |p ZDB-4-NLEBK |q FLA_NLEBK_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u http://www.content-select.com/index.php?id=bib_view&ean=9783747502143 |l FWS01 |p ZDB-213-MIP |x Aggregator |3 Volltext | |
| 966 | e | |u http://www.content-select.com/index.php?id=bib_view&ean=9783747502143 |l FWS02 |p ZDB-213-MIP |x Aggregator |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=6510615 |l UBR01 |p ZDB-30-PQE |q UBR Sammelbestellung 2021 |x Aggregator |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=6510615 |l UER01 |p ZDB-30-PQE |q UER_PDA_PQE_Kauf |x Aggregator |3 Volltext | |
Record in the Search Index
| DE-BY-FWS_katkey | 912781 |
|---|---|
| _version_ | 1824555105894006784 |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Raschka, Sebastian Mirjalili, Vahid |
| author2 | Lorenzen, Knut |
| author2_role | trl |
| author2_variant | k l kl |
| author_GND | (DE-588)1080537872 (DE-588)1147615993 (DE-588)1020241446 |
| author_facet | Raschka, Sebastian Mirjalili, Vahid Lorenzen, Knut |
| author_role | aut aut |
| author_sort | Raschka, Sebastian |
| author_variant | s r sr v m vm |
| building | Verbundindex |
| bvnumber | BV047228995 |
| classification_rvk | ST 250 ST 302 |
| collection | ZDB-213-MPE ZDB-30-PQE ZDB-4-NLEBK ZDB-213-MIP |
| ctrlnum | (ZDB-30-PQE)EBC6510615 (ZDB-4-NLEBK)NLEBK2764416 (OCoLC)1241451992 (DE-599)HBZHT020877906 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | 3., aktualisierte und erweiterte Auflage |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04342nmm a2200925 c 4500</leader><controlfield tag="001">BV047228995</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220823 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210407s2021 |||| o||u| ||||||ger d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783747502143</subfield><subfield code="c">Online, ePDF</subfield><subfield code="9">978-3-7475-0214-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783747502150</subfield><subfield code="c">Online, ePub</subfield><subfield code="9">978-3-7475-0215-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC6510615</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-NLEBK)NLEBK2764416</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1241451992</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)HBZHT020877906</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="049" ind1=" " ind2=" "><subfield code="a">DE-M347</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-11</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 302</subfield><subfield code="0">(DE-625)143652:</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="100" ind1="1" ind2=" "><subfield code="a">Raschka, Sebastian</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1080537872</subfield><subfield code="4">aut</subfield></datafield><datafield tag="240" ind1="1" ind2="0"><subfield code="a">Python machine learning</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn</subfield><subfield code="b">das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics</subfield><subfield code="c">Sebastian Raschka, Vahid Mirjalili ; Übersetzung aus dem Amerikanischen von Knut Lorenzen</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">3., aktualisierte und erweiterte Auflage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Frechen</subfield><subfield code="b">mitp</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (759 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="583" ind1="1" ind2=" "><subfield code="a">Archivierung/Langzeitarchivierung gewährleistet</subfield><subfield code="c">2021</subfield><subfield code="f">PENW</subfield><subfield code="5">DE-5</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 3.6</subfield><subfield code="0">(DE-588)113674746X</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">Keras</subfield><subfield code="g">Framework, Informatik</subfield><subfield code="0">(DE-588)1160521077</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</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">Cluster-Analyse</subfield><subfield code="0">(DE-588)4070044-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">algorithmen</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">big data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">clusteranalyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data science</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">datenanalyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">datenverarbeitung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mitp</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neuronale netze</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">numpy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">predictive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Python</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regressionsanalyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scikit learn</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scipy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sentiment analyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tensorflow</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 3.6</subfield><subfield code="0">(DE-588)113674746X</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><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="0" ind2="5"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="6"><subfield code="a">Keras</subfield><subfield code="g">Framework, Informatik</subfield><subfield code="0">(DE-588)1160521077</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="7"><subfield code="a">Cluster-Analyse</subfield><subfield code="0">(DE-588)4070044-6</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">Mirjalili, Vahid</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1147615993</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lorenzen, Knut</subfield><subfield code="0">(DE-588)1020241446</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">978-3-7475-0213-6</subfield></datafield><datafield tag="780" ind1="0" ind2="0"><subfield code="i">Vorangegangen ist</subfield><subfield code="z">9783958457331</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-213-MPE</subfield><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-4-NLEBK</subfield><subfield code="a">ZDB-213-MIP</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032633514</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hs-coburg/detail.action?docID=6510615</subfield><subfield code="l">FCO01</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/hm-bib/detail.action?docID=6510615</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">Einzelkauf</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=2764416</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="q">FLA_NLEBK_Kauf</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=9783747502143</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-213-MIP</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=9783747502143</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-213-MIP</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/uniregensburg-ebooks/detail.action?docID=6510615</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UBR Sammelbestellung 2021</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/erlangen/detail.action?docID=6510615</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UER_PDA_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047228995 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:59:48Z |
| indexdate | 2025-02-20T07:02:23Z |
| institution | BVB |
| isbn | 9783747502143 9783747502150 |
| language | German English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032633514 |
| oclc_num | 1241451992 |
| open_access_boolean | |
| owner | DE-M347 DE-29 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-355 DE-BY-UBR DE-83 DE-858 DE-860 DE-11 |
| owner_facet | DE-M347 DE-29 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-355 DE-BY-UBR DE-83 DE-858 DE-860 DE-11 |
| physical | 1 Online-Ressource (759 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-213-MPE ZDB-30-PQE ZDB-4-NLEBK ZDB-213-MIP ZDB-30-PQE Einzelkauf ZDB-4-NLEBK FLA_NLEBK_Kauf ZDB-30-PQE UBR Sammelbestellung 2021 ZDB-30-PQE UER_PDA_PQE_Kauf |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | mitp |
| record_format | marc |
| spellingShingle | Raschka, Sebastian Mirjalili, Vahid Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics Datenanalyse (DE-588)4123037-1 gnd Python 3.6 (DE-588)113674746X gnd Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Keras Framework, Informatik (DE-588)1160521077 gnd TensorFlow (DE-588)1153577011 gnd Big Data (DE-588)4802620-7 gnd Cluster-Analyse (DE-588)4070044-6 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)113674746X (DE-588)4434275-5 (DE-588)4193754-5 (DE-588)1160521077 (DE-588)1153577011 (DE-588)4802620-7 (DE-588)4070044-6 |
| title | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics |
| title_alt | Python machine learning |
| title_auth | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics |
| title_exact_search | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics |
| title_exact_search_txtP | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics |
| title_full | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics Sebastian Raschka, Vahid Mirjalili ; Übersetzung aus dem Amerikanischen von Knut Lorenzen |
| title_fullStr | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics Sebastian Raschka, Vahid Mirjalili ; Übersetzung aus dem Amerikanischen von Knut Lorenzen |
| title_full_unstemmed | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics Sebastian Raschka, Vahid Mirjalili ; Übersetzung aus dem Amerikanischen von Knut Lorenzen |
| title_short | Machine learning mit Python und Keras, TensorFlow 2 und Scikit-learn |
| title_sort | machine learning mit python und keras tensorflow 2 und scikit learn das umfassende praxis handbuch fur data science deep learning und predictive analytics |
| title_sub | das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics |
| topic | Datenanalyse (DE-588)4123037-1 gnd Python 3.6 (DE-588)113674746X gnd Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Keras Framework, Informatik (DE-588)1160521077 gnd TensorFlow (DE-588)1153577011 gnd Big Data (DE-588)4802620-7 gnd Cluster-Analyse (DE-588)4070044-6 gnd |
| topic_facet | Datenanalyse Python 3.6 Python Programmiersprache Maschinelles Lernen Keras Framework, Informatik TensorFlow Big Data Cluster-Analyse |
| work_keys_str_mv | AT raschkasebastian pythonmachinelearning AT mirjalilivahid pythonmachinelearning AT lorenzenknut pythonmachinelearning AT raschkasebastian machinelearningmitpythonundkerastensorflow2undscikitlearndasumfassendepraxishandbuchfurdatasciencedeeplearningundpredictiveanalytics AT mirjalilivahid machinelearningmitpythonundkerastensorflow2undscikitlearndasumfassendepraxishandbuchfurdatasciencedeeplearningundpredictiveanalytics AT lorenzenknut machinelearningmitpythonundkerastensorflow2undscikitlearndasumfassendepraxishandbuchfurdatasciencedeeplearningundpredictiveanalytics |