Linear algebra and learning from data /
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| Format: | Book |
| Language: | English |
| Published: |
Wellesley, MA :
Wellesley-Cambridge Press,
[2019]
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| Subjects: |
Table of Contents:
- Deep learning and neural nets
- Preface and acknowledgements
- Part I: Highlights of linear algebra
- Part II: Computations with large matrices
- Part III: Low rank and compressed sensing
- Part IV: Special matrices
- Part V: Probability and statistics
- Part IV: Optimization
- Part VII: Learning from data
- Books on machine learning
- Eigenvalues and singular values : rank one
- Codes and algorithms for numerical linear algebra
- Counting parameters in the basic factorizations
- Index of authors
- Index
- Index of symbols.