Complete eTextbook Content:
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.
Name: Linear Algebra and Optimization for Machine Learning: A Textbook
Author: Charu C. Aggarwal
This is a eBook for the actual textbook of Linear Algebra and Optimization for Machine Learning: A Textbook, by Charu C. Aggarwal.
eTextbook comes in pdf format which can work under all PC based windows operating system and Mac, Linux OS, Iphone, Ipad, Android etc…
It saves to your hard-drive and can be burned to CD-ROM. All pages are printable.
It is exactly same as the actual hardbook. And it is Color Version.
1) A COMPLETE eBook 507 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.
It is only computer file/s, I will not ship hard copy. The file can be downloaded instantly after the payment has been made.
Satisfaction guaranteed. Files are Checked before upload. All are good and pure!