Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

Nonfiction, Science & Nature, Mathematics, Computers, General Computing, Technology
Cover of the book Data-Driven Science and Engineering by Steven L. Brunton, J. Nathan Kutz, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Steven L. Brunton, J. Nathan Kutz ISBN: 9781108386586
Publisher: Cambridge University Press Publication: February 28, 2019
Imprint: Cambridge University Press Language: English
Author: Steven L. Brunton, J. Nathan Kutz
ISBN: 9781108386586
Publisher: Cambridge University Press
Publication: February 28, 2019
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Canon Law and the Letters of Ivo of Chartres by Steven L. Brunton, J. Nathan Kutz
Cover of the book Analysis of Aircraft Structures by Steven L. Brunton, J. Nathan Kutz
Cover of the book An Algebraic Introduction to K-Theory by Steven L. Brunton, J. Nathan Kutz
Cover of the book Of Limits and Growth by Steven L. Brunton, J. Nathan Kutz
Cover of the book A Concise History of Germany by Steven L. Brunton, J. Nathan Kutz
Cover of the book Statistical Methods for Recommender Systems by Steven L. Brunton, J. Nathan Kutz
Cover of the book Indigenous Elites and Creole Identity in Colonial Mexico, 1500–1800 by Steven L. Brunton, J. Nathan Kutz
Cover of the book The Death of Jesus in Matthew by Steven L. Brunton, J. Nathan Kutz
Cover of the book Groundwater Modelling in Arid and Semi-Arid Areas by Steven L. Brunton, J. Nathan Kutz
Cover of the book Kant's Transcendental Proof of Realism by Steven L. Brunton, J. Nathan Kutz
Cover of the book The Cambridge Companion to Rilke by Steven L. Brunton, J. Nathan Kutz
Cover of the book Classified by Steven L. Brunton, J. Nathan Kutz
Cover of the book The Cambridge Companion to Duke Ellington by Steven L. Brunton, J. Nathan Kutz
Cover of the book Clinical Emergency Medicine Casebook by Steven L. Brunton, J. Nathan Kutz
Cover of the book The Cambridge Economic History of Modern Britain: Volume 2, Growth and Decline, 1870 to the Present by Steven L. Brunton, J. Nathan Kutz
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy