Data-Driven Science and Engineering
Kutz J. Nathan (University of Washington)
9781009098489
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| Author(s) :- Kutz J. Nathan (University of Washington) | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2022-05-05 |
| ISBN-13 :- 9781009098489 | |
| Edition:- 2 Revised edition | |
| Pagination :- 614 pages, Worked examples or Exercises | |
| Dimensions :- 185 x 261 x 33 | |
| Weight :- 1430 |
Description
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.
