Holdings: Artificial intelligence for data science in theory and practice

Artificial intelligence for data science in theory and practice:

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Bibliographic Details
Other Authors:	Alloghani, Mohamed (Editor), Thron, Chris (Editor), Subair, Saad (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing [2022]
Series:	Studies in Computational Intelligence volume 1006
Subjects:	Communications Engineering, Networks Machine Learning Computational Intelligence Artificial Intelligence Data Analysis and Big Data Telecommunication Machine learning Computational intelligence Artificial intelligence Quantitative research Aufsatzsammlung
Online Access:	BTU01 FAB01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBG01 UBY01 UER01 Volltext
Physical Description:	1 Online-Ressource (XVI, 246 p. 123 illus., 88 illus. in color)
ISBN:	9783030922450
ISSN:	1860-9503
DOI:	10.1007/978-3-030-92245-0

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series	Studies in Computational Intelligence
series2	Studies in Computational Intelligence
spellingShingle	Artificial intelligence for data science in theory and practice Studies in Computational Intelligence Communications Engineering, Networks Machine Learning Computational Intelligence Artificial Intelligence Data Analysis and Big Data Telecommunication Machine learning Computational intelligence Artificial intelligence Quantitative research
subject_GND	(DE-588)4143413-4
title	Artificial intelligence for data science in theory and practice
title_auth	Artificial intelligence for data science in theory and practice
title_exact_search	Artificial intelligence for data science in theory and practice
title_exact_search_txtP	Artificial intelligence for data science in theory and practice
title_full	Artificial intelligence for data science in theory and practice Mohamed Alloghani, Christopher Thron, Saad Subair (editors)
title_fullStr	Artificial intelligence for data science in theory and practice Mohamed Alloghani, Christopher Thron, Saad Subair (editors)
title_full_unstemmed	Artificial intelligence for data science in theory and practice Mohamed Alloghani, Christopher Thron, Saad Subair (editors)
title_short	Artificial intelligence for data science in theory and practice
title_sort	artificial intelligence for data science in theory and practice
topic	Communications Engineering, Networks Machine Learning Computational Intelligence Artificial Intelligence Data Analysis and Big Data Telecommunication Machine learning Computational intelligence Artificial intelligence Quantitative research
topic_facet	Communications Engineering, Networks Machine Learning Computational Intelligence Artificial Intelligence Data Analysis and Big Data Telecommunication Machine learning Computational intelligence Artificial intelligence Quantitative research Aufsatzsammlung
url	https://doi.org/10.1007/978-3-030-92245-0
volume_link	(DE-604)BV044858013
work_keys_str_mv	AT alloghanimohamed artificialintelligencefordatascienceintheoryandpractice AT thronchris artificialintelligencefordatascienceintheoryandpractice AT subairsaad artificialintelligencefordatascienceintheoryandpractice

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