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

By: Steven L. Brunton J. Nathan Kutz (Author)

Ksh 7,560.00
Format :

Format(s): DRM EPUB

ISBN-13: 9781108386586

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Publication Date: February 28th, 2019

Country of Publication: US

Language: English

Physical Edition EAN: 9781108422093

Category: Data analysis: general , Probability & statistics , Optimization , Physics , Meteorology & climatology , Engineering: general , Robotics , Data mining , Mathematical theory of computation , Machine learning

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  • Description

  • Author Bio

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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