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Discrete Mathematics for Data Science.

Discrete Mathematics for Data Science.

・ISBN 978-1-032-68722-3 hard GB£ 171.99

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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-032-68775-9

著者・編者Pope, Jack,
出版社(Chapman & Hall/CRC, UK)
出版年月2026
ページ数374 pp.
言語ENG
ニュース番号<M25-19442>

解説

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