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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
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 21 juli 2022 |
| ISBN13 | 9781009123235 |
| Uitgevers | Cambridge University Press |
| Pagina's | 408 |
| Afmetingen | 251 × 177 × 28 mm · 876 g |
| Taal en grammatica | Engels |
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