Machine learning Q and AI: 30 essential questions and answers on machine learning and AI
"An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model eva...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
San Francisco
no starch press
[2024]
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Schlagworte: | |
Zusammenfassung: | "An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model evaluation"-- |
Beschreibung: | xxviii, 234 Seiten Illustrationen, Diagramme |
ISBN: | 9781718503762 1718503768 |
Internformat
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Datensatz im Suchindex
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id | DE-604.BV049530501 |
illustrated | Illustrated |
index_date | 2024-07-03T23:26:54Z |
indexdate | 2025-01-10T09:02:27Z |
institution | BVB |
isbn | 9781718503762 1718503768 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034876155 |
oclc_num | 1423778385 |
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physical | xxviii, 234 Seiten Illustrationen, Diagramme |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | no starch press |
record_format | marc |
spelling | Raschka, Sebastian Verfasser (DE-588)1080537872 aut Machine learning Q and AI 30 essential questions and answers on machine learning and AI by Sebastian Raschka San Francisco no starch press [2024] xxviii, 234 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier "An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model evaluation"-- Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Artificial intelligence Machine learning Computer vision Neural networks (Computer science) Natural language processing (Computer science) Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Online version 9781718503779 Raschka, Sebastian, PhD. Machine learning and ai beyond the basics San Francisco, CA : No Starch Press, [2024] |
spellingShingle | Raschka, Sebastian Machine learning Q and AI 30 essential questions and answers on machine learning and AI Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)4193754-5 |
title | Machine learning Q and AI 30 essential questions and answers on machine learning and AI |
title_auth | Machine learning Q and AI 30 essential questions and answers on machine learning and AI |
title_exact_search | Machine learning Q and AI 30 essential questions and answers on machine learning and AI |
title_exact_search_txtP | Machine learning Q and AI 30 essential questions and answers on machine learning and AI |
title_full | Machine learning Q and AI 30 essential questions and answers on machine learning and AI by Sebastian Raschka |
title_fullStr | Machine learning Q and AI 30 essential questions and answers on machine learning and AI by Sebastian Raschka |
title_full_unstemmed | Machine learning Q and AI 30 essential questions and answers on machine learning and AI by Sebastian Raschka |
title_short | Machine learning Q and AI |
title_sort | machine learning q and ai 30 essential questions and answers on machine learning and ai |
title_sub | 30 essential questions and answers on machine learning and AI |
topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Künstliche Intelligenz Maschinelles Lernen |
work_keys_str_mv | AT raschkasebastian machinelearningqandai30essentialquestionsandanswersonmachinelearningandai |