Linear Algebra in Data Science
This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for stud...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Birkhäuser
2024, 2024
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| Edition: | 1st ed. 2024 |
| Series: | Compact Textbooks in Mathematics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| Summary: | This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for students to better understand the real-world applications of the material covered in a standard linear algebra course. Some topics covered include singular value decomposition, convolution, frequency filtering, and neural networks. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course |
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| Physical Description: | VIII, 199 p. 23 illus., 9 illus. in color online resource |
| ISBN: | 9783031549083 |