TY  - DATA
AU  - Brunton, S. L.
AU  - Kutz, J. N.
TI  - Data - Driven Science and Engineering: : Machine Learning, Dynamical Systems, and Control
SN  - 9781108380690
U1  - 620.00285 
PY  - 2019///
CY  - Cambridge
PB  - : Cambridge University Press
KW  - Computational Science
KW  - Engineering
N2  - 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
UR  - https://doi.org/10.1017/9781108380690
ER  -