About: Data-Driven Science and Engineering, Machine Learning, Dynamical Systems, and Control

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An Entity of Type : rdac:C10001, within Data Space : data.idref.fr associated with source document(s)

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type	frbr:Work rdac:C10001
Author	Kutz, J. Nathan (19..-....) Brunton, Steven L. (1984-....)
alternative label	Data-Driven Science and Engineering
dc:subject	Apprentissage automatique Analyse des données Mathematical analysis Analyse globale (mathématiques) Mathématiques de l'ingénieur Engineering -- Data processing Science -- Data processing Science des données
preferred label	Data-Driven Science and Engineering, Machine Learning, Dynamical Systems, and Control
Language	http://lexvo.org/id/iso639-3/eng
Subject	http://www.idref.fr/027940373/id http://www.idref.fr/02739087X/id http://www.idref.fr/02734004X/id http://www.idref.fr/027814661/id http://www.idref.fr/237515237/id
dc:title	Data-Driven Science and Engineering, Machine Learning, Dynamical Systems, and Control
note	Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences
dc:type	Text
http://iflastandar...bd/elements/P1001	http://iflastandards.info/ns/isbd/terms/contentform/T1009
rdaw:P10219	2019
has content type	http://rdaregistry.info/termList/RDAContentType/1020
is primary topic of	http://www.idref.fr/261483331
is rdam:P30135 of	http://www.sudoc.fr/261328514/id http://www.sudoc.fr/240312996/id http://www.sudoc.fr/263517217/id

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