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Data-Driven Science and Engineering - Machine Learning, Dynamical Systems, and Control (Hardcover) Loot Price: R1,843
Discovery Miles 18 430
Repayment Terms: R173 pm x 12*
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Data-Driven Science and Engineering - Machine Learning, Dynamical Systems, and Control (Hardcover): Steven L. Brunton, J....

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

Steven L. Brunton, J. Nathan Kutz

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Loot Price R1,843 Discovery Miles 18 430 | Repayment Terms: R173 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: February 2019
Authors: Steven L. Brunton • J. Nathan Kutz
Dimensions: 261 x 184 x 24mm (L x W x T)
Format: Hardcover
Pages: 492
ISBN-13: 978-1-108-42209-3
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 1-108-42209-8
Barcode: 9781108422093

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