About the Book | DATA DRIVEN SCIENCE & ENGINEERING

DATA DRIVEN SCIENCE & ENGINEERING About the Book PART I: Dimensionality Reduction and Transforms PART 2: Machine Learning and Data Analysis PART 3: Dynamics and Control PART 4: Reduced Order Models Problem Sets About the Authors Seminars & Workshops Deep Learning in Fluid Mechanics Machine Learning, Dynamical Systems and Control 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

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• Michelle Wang