| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046051688 | |
| 005 | 20201012142437 | |
| 008 | 201008s2020 sz a b 001 0 eng d | |
| 020 | ▼a 9783030403430 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 512.5 ▼2 23 |
| 084 | ▼a 512.5 ▼2 DDCK | |
| 090 | ▼a 512.5 ▼b A266L | |
| 100 | 1 | ▼a Aggarwal, Charu C. |
| 245 | 1 0 | ▼a Linear algebra and optimization for machine learning : ▼b a textbook / ▼c Charu C. Aggarwal. |
| 260 | ▼a Cham : ▼b Springer, ▼c c2020. | |
| 300 | ▼a xxi, 495 p. : ▼b ill. ; ▼c 26 cm. | |
| 504 | ▼a Includes bibliographical references (p. 483-489) and index. | |
| 650 | 0 | ▼a Algebras, Linear. |
| 650 | 0 | ▼a Machine learning ▼x Mathematics. |
| 945 | ▼a KLPA |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 512.5 A266L | Accession No. 121254512 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Table of Contents
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.
