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Accelerated Optimization for Machine Learning: First-Order Algorithms Zhouchen Lin 2020 edition
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Accelerated Optimization for Machine Learning: First-Order Algorithms
Zhouchen Lin
The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning.
275 pages, 36 Illustrations, black and white; XXIV, 275 p. 36 illus.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de mayo de 2021 |
| ISBN13 | 9789811529122 |
| Editores | Springer Verlag, Singapore |
| Páginas | 275 |
| Dimensiones | 150 × 220 × 10 mm · 421 g |
![Cover for Zhouchen Lin · Alternating Direction Method of Multipliers for Machine Learning (Paperback Book) [2022 edition] (2023)](https://imusic.b-cdn.net/images/item/original/422/9789811698422.jpg?zhouchen-lin-2023-alternating-direction-method-of-multipliers-for-machine-learning-paperback-book&class=scaled&v=1749579229)