Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
February 2019
|
| Schlagworte: | |
| Online-Zugang: | FHI01 UBR01 UBY01 UER01 Volltext |
| Beschreibung: | 1 Online-Ressource (v, 363 Seiten) Illustrationen, Diagramme (teilweise farbig) |
| ISBN: | 9781789349276 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045543476 | ||
| 003 | DE-604 | ||
| 005 | 20230814 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190404s2019 |||| o||u| ||||||eng d | ||
| 020 | |a 9781789349276 |c Online, pdf |9 978-1-78934-927-6 | ||
| 035 | |a (ZDB-221-PDA)9781789349276 | ||
| 035 | |a (ZDB-30-PQE)EBC5721807 | ||
| 035 | |a (OCoLC)1107350979 | ||
| 035 | |a (DE-599)BVBBV045543476 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-83 |a DE-573 |a DE-706 |a DE-11 |a DE-355 |a DE-29 | ||
| 084 | |a ST 301 |0 (DE-625)143651: |2 rvk | ||
| 100 | 1 | |a Bonaccorso, Giuseppe |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Hands-on unsupervised learning with Python |b implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |c Guiseppe Bonaccorso |
| 264 | 1 | |a Birmingham ; Mumbai |b Packt |c February 2019 | |
| 300 | |a 1 Online-Ressource (v, 363 Seiten) |b Illustrationen, Diagramme (teilweise farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 650 | 0 | 7 | |a Deep learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a TensorFlow |0 (DE-588)1153577011 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 1 | |a TensorFlow |0 (DE-588)1153577011 |D s |
| 689 | 0 | 2 | |a Deep learning |0 (DE-588)1135597375 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-78934-827-9 |
| 856 | 4 | 0 | |u https://portal.igpublish.com/iglibrary/search/PACKT0005157.html |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-4-NLEBK |a ZDB-30-PQE |a ZDB-5-WPSE |a ZDB-221-PDA | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030927359 | ||
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005157.html |l FHI01 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005157.html |l UBR01 |p ZDB-221-PDA |q UBR Paketkauf 2021 |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005157.html |l UBY01 |p ZDB-221-PDA |q UBY01_ZDB-221-PDA21 |x Verlag |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=5721807 |l UER01 |p ZDB-30-PQE |q UER_PDA_PQE_Kauf_2023 |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804179512419680256 |
|---|---|
| any_adam_object | |
| author | Bonaccorso, Giuseppe |
| author_facet | Bonaccorso, Giuseppe |
| author_role | aut |
| author_sort | Bonaccorso, Giuseppe |
| author_variant | g b gb |
| building | Verbundindex |
| bvnumber | BV045543476 |
| classification_rvk | ST 301 |
| collection | ZDB-4-NLEBK ZDB-30-PQE ZDB-5-WPSE ZDB-221-PDA |
| ctrlnum | (ZDB-221-PDA)9781789349276 (ZDB-30-PQE)EBC5721807 (OCoLC)1107350979 (DE-599)BVBBV045543476 |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02291nmm a2200457 c 4500</leader><controlfield tag="001">BV045543476</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230814 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190404s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789349276</subfield><subfield code="c">Online, pdf</subfield><subfield code="9">978-1-78934-927-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-221-PDA)9781789349276</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC5721807</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1107350979</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045543476</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-83</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-29</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 301</subfield><subfield code="0">(DE-625)143651:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bonaccorso, Giuseppe</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hands-on unsupervised learning with Python</subfield><subfield code="b">implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more</subfield><subfield code="c">Guiseppe Bonaccorso</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">February 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (v, 363 Seiten)</subfield><subfield code="b">Illustrationen, 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">Deep learning</subfield><subfield code="0">(DE-588)1135597375</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">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="689" ind1="0" 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="0" ind2="1"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</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">978-1-78934-827-9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005157.html</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-4-NLEBK</subfield><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-5-WPSE</subfield><subfield code="a">ZDB-221-PDA</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030927359</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005157.html</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005157.html</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">UBR Paketkauf 2021</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005157.html</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">UBY01_ZDB-221-PDA21</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/erlangen/detail.action?docID=5721807</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UER_PDA_PQE_Kauf_2023</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045543476 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:21:03Z |
| institution | BVB |
| isbn | 9781789349276 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030927359 |
| oclc_num | 1107350979 |
| open_access_boolean | |
| owner | DE-83 DE-573 DE-706 DE-11 DE-355 DE-BY-UBR DE-29 |
| owner_facet | DE-83 DE-573 DE-706 DE-11 DE-355 DE-BY-UBR DE-29 |
| physical | 1 Online-Ressource (v, 363 Seiten) Illustrationen, Diagramme (teilweise farbig) |
| psigel | ZDB-4-NLEBK ZDB-30-PQE ZDB-5-WPSE ZDB-221-PDA ZDB-221-PDA UBR Paketkauf 2021 ZDB-221-PDA UBY01_ZDB-221-PDA21 ZDB-30-PQE UER_PDA_PQE_Kauf_2023 |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt |
| record_format | marc |
| spelling | Bonaccorso, Giuseppe Verfasser aut Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Guiseppe Bonaccorso Birmingham ; Mumbai Packt February 2019 1 Online-Ressource (v, 363 Seiten) Illustrationen, Diagramme (teilweise farbig) txt rdacontent c rdamedia cr rdacarrier Deep learning (DE-588)1135597375 gnd rswk-swf TensorFlow (DE-588)1153577011 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s TensorFlow (DE-588)1153577011 s Deep learning (DE-588)1135597375 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-78934-827-9 https://portal.igpublish.com/iglibrary/search/PACKT0005157.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bonaccorso, Giuseppe Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Deep learning (DE-588)1135597375 gnd TensorFlow (DE-588)1153577011 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)1153577011 (DE-588)4434275-5 |
| title | Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_auth | Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_exact_search | Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_full | Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Guiseppe Bonaccorso |
| title_fullStr | Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Guiseppe Bonaccorso |
| title_full_unstemmed | Hands-on unsupervised learning with Python implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Guiseppe Bonaccorso |
| title_short | Hands-on unsupervised learning with Python |
| title_sort | hands on unsupervised learning with python implement machine learning and deep learning models using scikit learn tensorflow and more |
| title_sub | implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| topic | Deep learning (DE-588)1135597375 gnd TensorFlow (DE-588)1153577011 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | Deep learning TensorFlow Python Programmiersprache |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0005157.html |
| work_keys_str_mv | AT bonaccorsogiuseppe handsonunsupervisedlearningwithpythonimplementmachinelearninganddeeplearningmodelsusingscikitlearntensorflowandmore |