Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Brunton, Steven L.; J. Nathan Kutz
ISBN 10: 1108422098 ISBN 13: 9781108422093
Verlag: Cambridge University Press, 2019
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This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.
Über die Autorin bzw. den Autor: Steven L. Brunton is Associate Professor of Mechanical Engineering at the University of Washington. He is also Adjunct Associate Professor of Applied Mathematics and a Data-Science Fellow at the eScience Institute. His research applies data science and machine learning for dynamical systems and control to fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He has co-authored two textbooks, received the Army and Air Force Young Investigator awards, and was awarded the University of Washington College of Education teaching award.
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Bibliografische Details
Titel: Data-Driven Science and Engineering: Machine...
Verlag: Cambridge University Press
Erscheinungsdatum: 2019
Einband: Hardcover
Zustand: Very Good
Auflage: 1st Edition
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Data-Driven Science and Engineering
Verlag:
Cambridge University Press, GB, 2019
ISBN 10: 1108422098
ISBN 13: 9781108422093
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Hardback. Zustand: New. 1st. Data-driven 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. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art. Bestandsnummer des Verkäufers LU-9781108422093
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Data-Driven Science and Engineering
Verlag:
Cambridge University Press, GB, 2019
ISBN 10: 1108422098
ISBN 13: 9781108422093
Neu
Hardcover
Erstausgabe
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: New. 1st. Data-driven 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. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art. Bestandsnummer des Verkäufers LU-9781108422093
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EUR 91,00
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