Brunton, Steven
Data-driven science and engineering : machine learning, dynamical systems, and control - 2nd ed. - UK CAMBRIDGE UNIVERSITY PRESS 2022 - xxiv, 590p.
Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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.
9781009098489
Sparsity and compressed sensing
Reinforcement Learning
Linear Control Theory
620.0028 / BRU
Data-driven science and engineering : machine learning, dynamical systems, and control - 2nd ed. - UK CAMBRIDGE UNIVERSITY PRESS 2022 - xxiv, 590p.
Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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.
9781009098489
Sparsity and compressed sensing
Reinforcement Learning
Linear Control Theory
620.0028 / BRU