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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares Boyd, Stephen (Stanford University, California)
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Boyd, Stephen (Stanford University, California)
A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.
500 pages
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 7, 2018 |
| ISBN13 | 9781316518960 |
| Publishers | Cambridge University Press |
| Pages | 474 |
| Dimensions | 252 × 197 × 26 mm · 1.13 kg |
| Language | English |
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