Explore the fundamental concepts of algebra in this essential guide to applied topology and data analysis. Ideal for mathematicians, computer scientists, and data analysts, this book bridges theoretical foundations with practical applications.

Title: Algebraic Foundations for Applied Topology and Data Analysis (Mathematics of Data)
Author: Hal Schenck (Author)
Edition: 1st ed. 2022
Language: English
Publisher: Springer Nature
Dimensions: 6.1 x 0.9 x 9.3 inches
ISBN-10: 3030842759
ISBN-13: 978-3030842755
Publication Date: October 1, 2022
Print Length: 167 pages

Discover the power of algebra in understanding complex data structures and topological spaces. This book equips readers with the necessary tools to analyze real-world datasets through a rigorous mathematical lens.

Keywords: Algebraic Foundations, Applied Topology, Data Analysis, Mathematics of Data, Hal Schenck, Springer Nature, Topological Data Analysis, Computational Geometry