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Can I read Data-driven Science and Engineering : Machine Learning, Dynamical Systems, and Control on EtoBox?
Data-driven Science and Engineering : Machine Learning, Dynamical Systems, and Control by J. Nathan Kutz & Steven L. Brunton is a science book available to read on EtoBox.
What is Data-driven Science and Engineering : Machine Learning, Dynamical Systems, and Control about?
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, financ
Who reads Data-driven Science and Engineering : Machine Learning, Dynamical Systems, and Control?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- J. Nathan Kutz & Steven L. Brunton
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2019
- Language
- EN
- ISBN
- 9785970609101
- Category
- science
- Subjects
- Engineering, Computer Science, Science
- Rating
- 4.7 / 5 (238 ratings)
- Updated
- 2026-03-14
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