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

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Description


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.


Product Details
ISBN: 9781108422093
ISBN-10: 1108422098
Publisher: Cambridge University Press
Publication Date: February 28th, 2019
Pages: 492
Language: English

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