Compact Textbooks in Mathematics

Zizler, Peter; La Haye, Roberta

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.

Details

Published by: Birkhäuser

Publication Date: 2024-05-15

Format: Paperback

ISBN-13: 9783031549076

DOI: 10.1007/978-3-031-54908-3

Dimensions: 235cm x155cm

Pages: 199