Random matrix methods for machine learning
Auteur :
Couillet, Romain / Liao, Zhenyu
Éditeur :
Cambridge University Press
ISBN :
9781009123235
Date de publication :
21 juil. 2022
Dimensions :
25,1 x 17,4 x 2,3 cm
Poids :
870 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for machine learning and systematic analyses of advanced applications ranging from power detection to deep neural networks. MATLAB and Python code is provided for all concepts and applications.