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

Looking to revolutionize your approach to modeling, prediction, and control? Look no further than Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. This comprehensive textbook combines the power of machine learning, engineering mathematics, and mathematical physics to unlock the potential of data-driven discovery. With this book, you'll gain the skills to integrate modeling and control of complex systems using cutting-edge data science techniques.

Embrace the recent advances in scientific computing that are reshaping the way we analyze and understand complex systems. From turbulence and climate to the brain and finance, this textbook explores a wide range of applications, proving valuable insights that can be applied to diverse fields such as epidemiology, robotics, and autonomy.

Whether you're an advanced undergraduate or a beginning graduate student in the engineering and physical sciences, this text has something for everyone. It covers a spectrum of topics, from introductory concepts to the latest state-of-the-art methods. With its clear explanations and practical examples, you'll quickly grasp the foundations of data-driven science and engineering.

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