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Télécharger Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Livre PDF Gratuit

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2019-02-28
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control - de Steven L. Brunton, J. Nathan Kutz (Author)

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

Le tableau suivant répertorie les spécificités supplémentaires concernant Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Le Titre Du LivreData-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Date de Lancement2019-02-28
TraducteurNilay Nikan
Nombre de Pages661 Pages
La taille du fichier48.66 MB
Langue du LivreFrançais et Anglais
ÉditeurBlack Lawrence Press
ISBN-107876393107-GUB
Format de LivreAMZ PDF ePub ACL NEIS
de (Auteur)Steven L. Brunton, J. Nathan Kutz
ISBN-13196-7175854366-DTO
Nom de FichierData-Driven-Science-and-Engineering-Machine-Learning-Dynamical-Systems-and-Control.pdf

Télécharger Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Livre PDF Gratuit

Datadriven discovery is revolutionizing the modeling prediction and control of complex systems This textbook brings together machine learning engineering mathematics and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science

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The extremely fast grow of Internet Services Web and Mobile Applications and advance of the related Pervasive Ubiquity and Cloud Computing concepts have stum…

Data Science is an emerging interdisciplinary field that uses scientific methods tools algorithms theories machine learning principles and systems to review analyze extract and provide significant insights based on large amounts of complex data

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The curriculum brings together a variety of subjects from the fields of data management knowledge management and knowledge engineering and machine learning and data mining Topics include system design and architecture storage indexing and optimization data analytics knowledge representation and reasoning semantic interoperability and data mining all with a special focus on


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