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Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Data-Driven Science and Engineering Steven L. Brunton
Libristo code: 39902929
Publishers Cambridge University Press, February 2019
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. T... Full description
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25 661 Ft
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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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About the book

Full name Data-Driven Science and Engineering
Author Steven L. Brunton, J. Nathan Kutz
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2019
EAN 9781108386586
Libristo code 39902929
Publishers Cambridge University Press

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Reference, Information & Interdisciplinary subjects > Research & information: general > Data analysis: general
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Mathematics > Optimization
Earth Sciences, Geography, Environment, Planning > Earth sciences > Meteorology & climatology
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Mathematical theory of computation
Mathematics & Science > Physics
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