Discrete Mathematics for Data Science by Jack Pope (.ePUB)+
File Size: 34.9 MB
Discrete Mathematics for Data Science by Jack Pope
Requirements: .ePUB, .PDF reader, 34.9 MB | True PDF, True EPUB
Overview: 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. To an extent, this book uses a Forth-like code called epop for its compact, yet natural language structure. epop is designed as a teaching tool to help students learn discrete math for Data Science, with data processing in mind. epop’s postfix notation allows fairly concise mathematical expressions, which leads to relatively compact syntax.
Genre: Non-Fiction > Tech & Devices
Free Download links: