Binding: Hardcover
Description: Data - driven discovery is revolutionizing how we model predict and control complex systems. Now with Python and Matlab this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data - driven methods machine learning applied optimization and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning this text includes methods that were chosen for their relevance simplicity and generality. Topics range from introductory to research - level material making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics - informed machine learning significant new sections throughout and chapter exercises. Online supplementary material including lecture videos per section homeworks data and code in Matlab Python Julia and R available on databookuw. com.
Title: Data - Driven Science And Engineering Machine Learning Dynamical Systems And Control
Author(s): Kutz J. Nathan (University Of Washington)
Publisher: Cambridge University Press
Barcode: 9781009098489
Pages: 614 Pages, Worked Examples Or Exercises
Publication Date: 5/5/2022
Category: Signal Processing