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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yazar | Steven L. Brunton |
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1 Ocak 2018 15 x 0,6 x 22 cm 30 Eylül 2020 1 Ocak 2016 Flower Love Press Dazzle Book Press 15 x 0,3 x 22 cm Kolektif 1 Haziran 2018 1 Ocak 2017 28 Şubat 2018 21,6 x 0,6 x 27,9 cm Collectif U.S. Department of the Interior 15 x 0,7 x 22 cm 15 x 0,4 x 22 cm 15 x 0,5 x 22 cm BrownTrout Publisher
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yazar Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control | Steven L. Brunton J. Nathan Kutz |
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