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

This book is a game-changer in the field of data science and dynamical systems! It brings together machine learning, engineering mathematics, and mathematical physics to provide a comprehensive guide to integrating modeling and control of complex systems with modern data-driven methods.

With its focus on advanced undergraduate and beginning graduate students in the engineering and physical sciences, this text presents a range of topics from introductory to state-of-the-art.

The author, J.

Nathan Kutz, is a renowned expert in the field and has written an excellent book that will be a valuable resource for anyone interested in this rapidly evolving area.

Don't miss out on this opportunity to revolutionize your understanding of complex systems and stay ahead of the curve in the field of data science!