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

This comprehensive textbook provides a broad overview of data-driven discovery, revolutionizing how we model, predict, and control complex systems.

With Python and MATLAB® integration, this book trains mathematical scientists and engineers for the next generation of scientific discovery.

Featuring new chapters on reinforcement learning and physics informed machine learning, this second edition offers accessible topics ranging from introductory to research level material.

Include chapter exercises, online supplementary material, and lecture videos per section.

This must-have guide for engineers and researchers covers dimension reduction, machine learning, and robust control of dynamical systems with unique insights into the rapidly evolving field of data science.