Random Matrix Methods for Machine Learning
Author | : Romain Couillet |
Publisher | : Cambridge University Press |
Total Pages | : 411 |
Release | : 2022-07-21 |
ISBN-10 | : 9781009123235 |
ISBN-13 | : 1009123238 |
Rating | : 4/5 (238 Downloads) |
Book Synopsis Random Matrix Methods for Machine Learning by : Romain Couillet
Download or read book Random Matrix Methods for Machine Learning written by Romain Couillet and published by Cambridge University Press. This book was released on 2022-07-21 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unified random matrix approach to large-dimensional machine learning covers applications from power detection to deep neural networks.