Linear Algebra and Optimization for Machine Learning: A Textbook

By Charu C. Aggarwal

Book Overview

Preface.- 1 Linear Algebra and Optimization: An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization Basics: A Machine Learning View.- 5 Advanced Optimization Solutions.- 6 Constrained Optimization and Duality.- 7 Singular Value Decomposition.- 8 Matrix Factorization.- 9 The Linear Algebra of Similarity.- 10 The Linear Algebra of Graphs.- 11 Optimization in Computational Graphs.- Index.

• Format: Paperback
• Language: English
• ISBN: 3030403467
• ISBN13: 9783030403461
• Release Date: May 2021
• Publisher: Springer
• Length: 495 Pages
• Weight: 2.05 lbs.
• Dimensions: 1.1" x 7.0" x 10.0"