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Data-driven science and engineering : machine learning, dynamical systems, and control /

by Brunton, Steven L. (Steven Lee) [author.]; Kutz, Jose Nathan [author.].
Material type: materialTypeLabelBookDescription: pages cm.ISBN: 9781108422093 (hardback : alk. paper).Subject(s): Engineering -- Data processing | Science -- Data processing | Mathematical analysisSummary: "Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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"-- Provided by publisher.
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Item type Location Call number Status Date due
Books Books
Epoka University Library
TA 330 .B78 2019 (Browse shelf) Available
Books Books
Epoka University Library
TA 330 .B78 2019 (Browse shelf) Available
Books Books
Epoka University Library
TA 330 .B78 2019 (Browse shelf) Available

Includes bibliographical references and index.

"Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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"-- Provided by publisher.

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