Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control
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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…
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Key features
- Offers first text in data science where data methods for scientific discovery are highlighted, aimed at advanced undergraduates, graduate students and researchers
- Highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, e.g. turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy
- Supplementary material – including lecture videos for every section, homework for all chapters, data, full codes in Python, MATLAB®, Julia, and R, and additional case studies – can be found on databookuw.com
- Prerequisites include calculus, linear algebra 1, and basic computational proficiency in either Python or MATLAB
- Suitable for applied data science courses, including: Applied Machine Learning; Beginning Scientific Computing; Computational Methods for Data Analysis; Applied Linear Algebra; Control Theory; Data-Driven Dynamical Systems; Machine Learning Control; Reduced Order Modeling
About the book
- DOI https://doi.org/10.1017/9781009089517
- Subjects Computational Science,Control Systems and Optimisation,Engineering,Mathematics
- Format: Hardback
- Publication date: 28 July 2022
- ISBN: 9781009098489
- Dimensions (mm): 253 x 177 mm
- Weight: 1.4kg
- Page extent: 614 pages
- Availability: In stock
- Format: Digital
- Publication date: 10 June 2022
- ISBN: 9781009089517
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