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

Book Description

Data-driven discovery is revolutionizing the , prediction, and control of complex . This textbook brings together machine learning, engineering mathematics, and mathematical to integrate and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, , and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.

Book Details

  • Title: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
  • Author: ,
  • Length: 492 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-04-18
  • ISBN-10: 1108422098
  • ISBN-13: 9781108422093
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