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Linear Algebra in Data Science
Paperback
Series: Compact Textbooks in Mathematics
ISBN13: 9783031549076
Publisher: Birkhauser
Published: May 15 2024
Pages: 199
Weight: 0.66
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
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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