Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Book Details
Format
Hardback
ISBN-10
1108422098
ISBN-13
9781108422093
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Feb 28th, 2019
Print length
492 Pages
Weight
1,178 grams
Dimensions
18.40 x 25.90 x 2.80 cms
KSh 10,350.00
Re-Printing
0 in stock
Delivery Location
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Quality
Fast
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.
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.
Get Data-Driven Science and Engineering by J. Nathan Kutz, Steven L. Brunton at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Cambridge University Press and it has 492 pages.
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