Linear algebra and learning from data
This book provides a comprehensive introduction to linear algebra, emphasizing conceptual understanding and practical applications. It covers fundamental topics such as vectors, matrices, determinants, eigenvalues, eigenvectors, and linear transformations. Real-world applications in engineering, com...
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| Glavni autor: | |
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| Format: | Knjiga |
| Jezik: | Vietnamese |
| Izdano: |
Wellesley, Massachusetts
Wellesley-Cambridge Press
2019
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| Teme: | |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Nam Cần Thơ |
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| Sažetak: | This book provides a comprehensive introduction to linear algebra, emphasizing conceptual understanding and practical applications. It covers fundamental topics such as vectors, matrices, determinants, eigenvalues, eigenvectors, and linear transformations. Real-world applications in engineering, computer science, and data analysis are included to illustrate the relevance of linear algebra. |
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| Opis: | xiii, 432 p. ill. 24 cm |
| Bibliografija: | Includes bibliographical references and index |
| ISBN: | 9780692196380 |