Discrete Mathematics for Data Science by Jack Pope

Discrete Mathematics for Data Science by Jack Pope

Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter. Students of Data Science come from a variety of disciplines, with Business, Statistics, Computer Science, Economics, and Psychology among the departments offering courses on the subject. Therefore, for many students, Data Science is considered a means of insight into a particular field of interest, with the study of its underlying discrete mathematics not a primary objective. This book covers the topics of Discrete Mathematical Structures relevant to students of Data Science, offering a relevant and gentle introduction to both the theoretical and practical elements required to be a successful data scientist. The relaxed, accessible style makes it a perfect textbook for undergraduates. Features Numerous exercises and examples Ideal as a textbook for a Discrete Mathematics course for data science and computer science students Source code and solutions provided as a supplementary resource

Jack Pope has wrangled financial data since Big Data meant a big pile of floppy disks. He works at Investment Economics (aka, System Goats) providing system configuration, guidance, and training for organizations interested in data science infrastructure. He is also department coordinator for Computer Science and Data Science at North Hennepin Community College and chairman of the Twin Cities IEEE Computer Society.

SKU	Unavailable
ISBN 13	9781032687735
ISBN 10	1032687738
Title	Discrete Mathematics for Data Science
Author	Pope Jack
Condition	Unavailable
Binding Type	Paperback
Publisher	Chapman and Hall/CRC
Year published	2026-03-31
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.