Overview
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.
The book, Linear Algebra in Data Science (Compact Textbooks in Mathematics) [Bulk, Wholesale, Quantity] ISBN#9783031549076 in Paperback by Peter Zizler, Roberta La Haye may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Paperback
Publication Date:
05/15/2024
ISBN-13:
9783031549076
Pages:
199
Publisher:
Springer International Publishing
