Articoli correlati a Data-Driven Science and Engineering: Machine Learning,...

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

Brunton, Steven L.; Kutz, J. Nathan

 
9781009098489: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Rilegato
ISBN 10: 1009098489 ISBN 13: 9781009098489
Casa editrice: Cambridge University Press, 2022

Sinossi

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

Steven L. Brunton is the James B. Morrison Professor of Mechanical Engineering at the University of Washington and Associate Director of the NSF AI Institute in Dynamic Systems. He is also Adjunct Professor of Applied Mathematics and Computer Science and a Data-Science Fellow at the eScience Institute. His research merges data science and machine learning with dynamical systems and control, with applications in fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He is an author of three textbooks, and received the UW College of Engineering Teaching award, the Army and Air Force Young Investigator Program (YIP) awards, and the Presidential Early Career Award for Scientists and Engineers (PECASE) award.

J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics at the University of Washington and Director of the NSF AI Institute in Dynamic Systems. He is also Adjunct Professor of Electrical and Computer Engineering, Mechanical Engineering, and Physics and Senior Data-Science Fellow at the eScience Institute. His research interests lie at the intersection of dynamical systems and machine learning. He is an author of three textbooks and has received the Applied Mathematics Boeing Award of Excellence in Teaching and an NSF CAREER award.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Cambridge University Press
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
1009098489
ISBN 13 
9781009098489
Rilegatura
Copertina rigida
Numero edizione
2
Numero di pagine
614
Contatto del produttore
Cambridge University Press
https://www.cambridge.org/

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Pomezia
Italia
71
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Altre edizioni note dello stesso titolo

9781009098434: Data-Driven Science and Engineering with Python: Machine Learning, Dynamical Systems, and Control

Edizione in evidenza

ISBN 10:  1009098438 ISBN 13:  9781009098434
Casa editrice: Cambridge University Press, 2023
Rilegato