Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

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.
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Gebonden
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Writer
Brunton, Steven L. (University of Washington), Kutz, J. Nathan (University of Washington)
Title
Data-Driven Science and Engineering
Publisher
Cambridge University Press
Year
2022
Language
English
Pages
614
Weight
1404 gr
EAN
9781009098489
Dimensions
259 x 183 x 32 mm
Binding format
Gebonden

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Categories

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