Linear Algebra and Optimization for Machine Learning: A Textbook by Charu C. Aggarwal

Complete eTextbook Content:
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.

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Name: Linear Algebra and Optimization for Machine Learning: A Textbook
Author: Charu C. Aggarwal
Edition: 1st
ISBN-10: 3030403432
ISBN-13: 978-3030403430
Type: eTextbook

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