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Random Matrix Methods for Machine Learning Romain Couillet
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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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2022年7月21日 |
| ISBN13 | 9781009123235 |
| 出版社 | Cambridge University Press |
| ページ数 | 408 |
| 寸法 | 251 × 177 × 28 mm · 876 g |
| 言語 | 英語 |
