Abstract
This book is an accessible and comprehensive introduction to the field of data-driven science and engineering. It is unique in the sense that it brings together interdisciplinary concepts from machine learning, dynamical systems, and feedback control and applies them to physical systems arising in science and engineering. The book provides a broad overview of these concepts and develops tools for data-driven modeling, prediction, and control. Overall, it provides a perfect starting point for an aspiring graduate student or researcher in this field. It can also be used as a text for an advanced undergraduate or graduate course on data-driven model reduction and control. A wealth of accompanying online material (such as Matlab/Python code and a variety of YouTube video lectures) makes the book very suitable for self-study
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