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. FeaturesNumerous exercises and examplesIdeal as a textbook for a Discrete Mathematics course for data science and computer science studentsSource code and solutions provided as a supplementary resource
| Format |
Häftad |
| Omfång |
374 sidor |
| Språk |
Engelska |
| Förlag |
Taylor & Francis Ltd |
| Utgivningsdatum |
2026-03-30 |
| ISBN |
9781032687735 |
