Machine learning with PyTorch and Scikit-Learn: develop machine learning and deep learning models with Python
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing
2022
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Schriftenreihe: | Expert insight
|
Schlagworte: | |
Beschreibung: | Includes index |
Beschreibung: | xxix, 741 Seiten Illustrationen, Diagramme 26 cm |
ISBN: | 9781801819312 1801819319 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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020 | |a 1801819319 |9 1801819319 | ||
035 | |a (OCoLC)1343930615 | ||
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041 | 0 | |a eng | |
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084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
100 | 1 | |a Raschka, Sebastian |e Verfasser |0 (DE-588)1080537872 |4 aut | |
245 | 1 | 0 | |a Machine learning with PyTorch and Scikit-Learn |b develop machine learning and deep learning models with Python |c Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ; foreword by Dmytro Dzhulgakov |
264 | 1 | |a Birmingham |b Packt Publishing |c 2022 | |
300 | |a xxix, 741 Seiten |b Illustrationen, Diagramme |c 26 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Expert insight | |
500 | |a Includes index | ||
650 | 0 | 7 | |a Keras |g Framework, Informatik |0 (DE-588)1160521077 |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 Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a TensorFlow |0 (DE-588)1153577011 |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 Cluster-Analyse |0 (DE-588)4070044-6 |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 3.6 |0 (DE-588)113674746X |2 gnd |9 rswk-swf |
653 | 0 | |a Machine learning | |
653 | 0 | |a Python (Computer program language) | |
653 | 0 | |a Machine learning / Computer programs | |
653 | 0 | |a Apprentissage automatique | |
653 | 0 | |a Python (Langage de programmation) | |
653 | 0 | |a Apprentissage automatique / Logiciels | |
653 | 0 | |a Machine learning | |
653 | 0 | |a Python (Computer program language) | |
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 |
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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 Liu, Yuxi |e Verfasser |0 (DE-588)1247037908 |4 aut | |
700 | 1 | |a Mirjalili, Vahid |e Verfasser |0 (DE-588)1147615993 |4 aut | |
776 | 0 | 8 | |i ebook version |z 9781801816380 |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034876160 |
Datensatz im Suchindex
_version_ | 1817696342943727616 |
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adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Raschka, Sebastian Liu, Yuxi Mirjalili, Vahid |
author_GND | (DE-588)1080537872 (DE-588)1247037908 (DE-588)1147615993 |
author_facet | Raschka, Sebastian Liu, Yuxi Mirjalili, Vahid |
author_role | aut aut aut |
author_sort | Raschka, Sebastian |
author_variant | s r sr y l yl v m vm |
building | Verbundindex |
bvnumber | BV049530508 |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)1343930615 (DE-599)BVBBV049530508 |
discipline | Informatik |
format | Book |
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id | DE-604.BV049530508 |
illustrated | Illustrated |
index_date | 2024-07-03T23:26:54Z |
indexdate | 2024-12-06T13:05:17Z |
institution | BVB |
isbn | 9781801819312 1801819319 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034876160 |
oclc_num | 1343930615 |
open_access_boolean | |
owner | DE-898 DE-BY-UBR DE-1050 |
owner_facet | DE-898 DE-BY-UBR DE-1050 |
physical | xxix, 741 Seiten Illustrationen, Diagramme 26 cm |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | Packt Publishing |
record_format | marc |
series2 | Expert insight |
spelling | Raschka, Sebastian Verfasser (DE-588)1080537872 aut Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ; foreword by Dmytro Dzhulgakov Birmingham Packt Publishing 2022 xxix, 741 Seiten Illustrationen, Diagramme 26 cm txt rdacontent n rdamedia nc rdacarrier Expert insight Includes index Keras Framework, Informatik (DE-588)1160521077 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf TensorFlow (DE-588)1153577011 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python 3.6 (DE-588)113674746X gnd rswk-swf Machine learning Python (Computer program language) Machine learning / Computer programs Apprentissage automatique Python (Langage de programmation) Apprentissage automatique / Logiciels Maschinelles Lernen (DE-588)4193754-5 s Datenanalyse (DE-588)4123037-1 s Big Data (DE-588)4802620-7 s Python 3.6 (DE-588)113674746X s Python Programmiersprache (DE-588)4434275-5 s TensorFlow (DE-588)1153577011 s Keras Framework, Informatik (DE-588)1160521077 s Cluster-Analyse (DE-588)4070044-6 s DE-604 Liu, Yuxi Verfasser (DE-588)1247037908 aut Mirjalili, Vahid Verfasser (DE-588)1147615993 aut ebook version 9781801816380 |
spellingShingle | Raschka, Sebastian Liu, Yuxi Mirjalili, Vahid Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python Keras Framework, Informatik (DE-588)1160521077 gnd Big Data (DE-588)4802620-7 gnd Datenanalyse (DE-588)4123037-1 gnd TensorFlow (DE-588)1153577011 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Cluster-Analyse (DE-588)4070044-6 gnd Python Programmiersprache (DE-588)4434275-5 gnd Python 3.6 (DE-588)113674746X gnd |
subject_GND | (DE-588)1160521077 (DE-588)4802620-7 (DE-588)4123037-1 (DE-588)1153577011 (DE-588)4193754-5 (DE-588)4070044-6 (DE-588)4434275-5 (DE-588)113674746X |
title | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python |
title_auth | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python |
title_exact_search | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python |
title_exact_search_txtP | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python |
title_full | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ; foreword by Dmytro Dzhulgakov |
title_fullStr | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ; foreword by Dmytro Dzhulgakov |
title_full_unstemmed | Machine learning with PyTorch and Scikit-Learn develop machine learning and deep learning models with Python Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ; foreword by Dmytro Dzhulgakov |
title_short | Machine learning with PyTorch and Scikit-Learn |
title_sort | machine learning with pytorch and scikit learn develop machine learning and deep learning models with python |
title_sub | develop machine learning and deep learning models with Python |
topic | Keras Framework, Informatik (DE-588)1160521077 gnd Big Data (DE-588)4802620-7 gnd Datenanalyse (DE-588)4123037-1 gnd TensorFlow (DE-588)1153577011 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Cluster-Analyse (DE-588)4070044-6 gnd Python Programmiersprache (DE-588)4434275-5 gnd Python 3.6 (DE-588)113674746X gnd |
topic_facet | Keras Framework, Informatik Big Data Datenanalyse TensorFlow Maschinelles Lernen Cluster-Analyse Python Programmiersprache Python 3.6 |
work_keys_str_mv | AT raschkasebastian machinelearningwithpytorchandscikitlearndevelopmachinelearninganddeeplearningmodelswithpython AT liuyuxi machinelearningwithpytorchandscikitlearndevelopmachinelearninganddeeplearningmodelswithpython AT mirjalilivahid machinelearningwithpytorchandscikitlearndevelopmachinelearninganddeeplearningmodelswithpython |