Data-Driven Science and Engineering
J. Nathan (University of Washington) Kutz, Steven L. (University of Washington) Brunton
Cambridge University Press, 2022
88,75 €On orderDelivery: 2-3 weeks
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB®, new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.
- ISBN-13
- 9781009098489
- ISBN-10
- 1009098489
- Publisher
- Cambridge University Press
- Year
- 2022
- Publication date
- 2022-05-05
- Pages
- 614
- Dimensions
- 185x261x33
- Weight
- 1398