TY  - GEN
AU  - Aggarwal,Charu C. 
TI  - Linear algebra and optimization for machine learning: a textbook
SN  - 9783030403461
U1  - 512.5 23
PY  - 2020///
CY  - Switzerland
PB  - Springer
KW  - Algebra
KW  - Linear Algebra
KW  - Machine Learning
N1  - Includes bibliographical references and index; 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
N2  - This textbook provides an integrated treatment of linear algebra and optimization with a special focus on machine learning issues.
It Includes many examples to simplify exposition and facilitate in learning semantically. It is complemented by examples and exercises throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors
ER  -