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Can I read Accelerated Optimization for Machine Learning : First-Order Algorithms on EtoBox?
Accelerated Optimization for Machine Learning : First-Order Algorithms by Zhouchen Lin & Huan Li & Cong Fang is a computer science book available to read on EtoBox.
What is Accelerated Optimization for Machine Learning : First-Order Algorithms about?
This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. 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 accelerate
Who reads Accelerated Optimization for Machine Learning : First-Order Algorithms?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Zhouchen Lin & Huan Li & Cong Fang
- Publisher
- Springer Singapore, Imprint Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9789811529092
- Category
- computer science
- Subjects
- Mathematics, Science, Computer Science
- Updated
- 2026-03-25
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