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portada Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Type
Physical Book
Publisher
Author
Year
2019
Language
English
Pages
492
Format
Hardcover
ISBN13
9781108422093
Edition No.
1

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

Steven L. Brunton; J. Nathan Kutz (Author) · Cambridge University Press · Hardcover

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control - Steven L. Brunton; J. Nathan Kutz

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

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.

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