Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

This book is a comprehensive guide to data-driven discovery in complex systems, covering topics from machine learning to reduced order methods.

It's perfect for advanced undergraduate and beginning graduate students in engineering and physical sciences who want to learn how to integrate modeling and control of dynamical systems with modern data science techniques.

With its focus on applied optimization, this book provides a well-rounded education in the field and is an excellent resource for anyone looking to make a career in data science.