Linear Algebra in Data Science (Compact Textbooks in Mathematics)
by 作者: Peter Zizler (Author), Roberta La Haye (Author)
Publisher Finelybook 出版社: Birkhäuser
Edition 版本: 2024th
Publication Date 出版日期: 2024-05-15
Language 语言: English
Pages 页数: 207 pages
ISBN-10 书号: 3031549074
ISBN-13 书号: 9783031549076
Book Description
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.
From the Back Cover
About the Author
Roberta La Haye is an associate professor of mathematics at Mount Royal University in Calgary. She holds a Ph.D. in mathematics (group theory). Her current research interests include ties between mathematics and the visual art and ties between mathematics and statistics. She has publications in mathematics journals, visual arts education journals and statistics journals as well as co-authored book chapters in Co-Teaching in Higher Education: From Theory to Co-Practice, University of Toronto Press, (2017) and Applications of the Gini Index Beyond Economics and Statistics, in the Handbook of the Mathematics of the Arts and Sciences, Springer (2021).
