Linear Algebra and Optimization with Applications to Machine Learning - Volume II: Fundamentals of Optimization Theory with Applications to Machine Le

by Jocelyn Quaintance and Jean Gallier

Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throughout machine learning. This book blends theory with practice by not only carefully discussing the mathematical under pinnings of each optimization technique but by applying these techniques to linear programming, support vector machines (SVM), principal component analysis (PCA), and ridge regression. Volume 2 begins by discussing...

• Format: Hardcover
• Language: English
• ISBN: 9811216568
• ISBN13: 9789811216565
• Release Date: May 2020
• Publisher: World Scientific Publishing Company
• Length: 896 Pages
• Weight: 2.99 lbs.
• Dimensions: 1.9" x 6.0" x 9.0"