Data-driven science and engineering: machine learning, dynamical systems, and control
Auteur :
Brunton, Steven L. / Kutz, J. Nathan
Éditeur :
Cambridge University Press
ISBN :
9781009098489
Date de publication :
5 mai 2022
Dimensions :
25,9 x 18,3 x 3,1 cm
Poids :
1390 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.