Random Matrix Methods for Machine Learning

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.

• | : Romain Couillet, Zhenyu Liao
• | Publisher: Cambridge University Press
• | Publication Date: Jul 21, 2022
• | Country of Publication: United Kingdom
• | Number of Pages: 408 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1009123238
• | ISBN-13: 9781009123235