Linear Algebra and Optimization for Machine Learning: A Textbook

by Charu C. Aggarwal

Preface.- 1 Linear Algebra and An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization 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.

Genres: Mathematics, Artificial Intelligence, Technical, Programming

520 pages, Paperback

Published May 18, 2020