Verfügbarkeit: Machine Learning for Computer Scientists and Data Analysts

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

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Bibliographische Detailangaben
Hauptverfasser:	Rafatirad, Setareh (VerfasserIn), Homayoun, Houman (VerfasserIn), Chen, Zhiqian (VerfasserIn), Pudukotai Dinakarrao, Sai Manoj (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer [2022]
Schlagworte:	Electronic Circuits and Systems Cyber-Physical Systems Machine Learning Electronic circuits Cooperating objects (Computer systems) Machine learning
Online-Zugang:	BTU01 FAB01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext
Beschreibung:	1 Online-Ressource (XV, 458 Seiten)
ISBN:	9783030967567
DOI:	10.1007/978-3-030-96756-7

Internformat

MARC


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Datensatz im Suchindex

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author	Rafatirad, Setareh Homayoun, Houman Chen, Zhiqian Pudukotai Dinakarrao, Sai Manoj
author_facet	Rafatirad, Setareh Homayoun, Houman Chen, Zhiqian Pudukotai Dinakarrao, Sai Manoj
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dewey-hundreds	600 - Technology (Applied sciences)
dewey-ones	621 - Applied physics
dewey-raw	621.3815
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dewey-tens	620 - Engineering and allied operations
discipline	Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau
discipline_str_mv	Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau
doi_str_mv	10.1007/978-3-030-96756-7
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record_format	marc
spellingShingle	Rafatirad, Setareh Homayoun, Houman Chen, Zhiqian Pudukotai Dinakarrao, Sai Manoj Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective Electronic Circuits and Systems Cyber-Physical Systems Machine Learning Electronic circuits Cooperating objects (Computer systems) Machine learning
title	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective
title_auth	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective
title_exact_search	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective
title_exact_search_txtP	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective
title_full	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
title_fullStr	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
title_full_unstemmed	Machine Learning for Computer Scientists and Data Analysts From an Applied Perspective Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
title_short	Machine Learning for Computer Scientists and Data Analysts
title_sort	machine learning for computer scientists and data analysts from an applied perspective
title_sub	From an Applied Perspective
topic	Electronic Circuits and Systems Cyber-Physical Systems Machine Learning Electronic circuits Cooperating objects (Computer systems) Machine learning
topic_facet	Electronic Circuits and Systems Cyber-Physical Systems Machine Learning Electronic circuits Cooperating objects (Computer systems) Machine learning
url	https://doi.org/10.1007/978-3-030-96756-7
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