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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| 第一著者: | |
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| フォーマット: | 図書 |
| 言語: | Vietnamese |
| 出版事項: |
Wellesley, Massachusetts
Wellesley-Cambridge Press
2019
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| 主題: | |
| タグ: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Nam Cần Thơ |
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| 要約: | 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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| 物理的記述: | xiii, 432 p. ill. 24 cm |
| 書誌: | Includes bibliographical references and index |
| ISBN: | 9780692196380 |