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Random Matrix Methods for Machine Learning Romain Couillet
Random Matrix Methods for Machine Learning
Romain Couillet
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.
450 pages, Worked examples or Exercises
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2022年7月21日 |
| ISBN13 | 9781009123235 |
| 出版商 | Cambridge University Press |
| 页数 | 408 |
| 商品尺寸 | 251 × 177 × 28 mm · 876 g |