Discrete Mathematics for Data Science

di Jack Pope (Autore)

Taylor & Francis Ltd, 2026

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

• Autore: Jack Pope
• Editore: Taylor & Francis Ltd
• Anno: 2026
• Rilegatura: Hardback
• Pagine: 374 p.
• Dimensioni: 234 x 156 mm
• Peso: 910 gr.
• EAN: 9781032687223

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