Accelerated Optimization for Machine Learning: First-Order Algorithms

by Zhouchen Lin and Lin

Book Overview

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...

• Format: Paperback
• Language: English
• ISBN: 9811529124
• ISBN13: 9789811529122
• Release Date: May 2021
• Publisher: Springer
• Length: 275 Pages
• Weight: 0.93 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"