
Автор: Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh
Издательство: Springer
Серия: Texts in Computer Science
Год: 2023
Страниц: 219
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success. Although this core textbook aims directly at students of Computer Science and/or Data Science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations “beyond” the sole computing experience. This book is appropriate for advanced undergraduate or master’s students in Computer Science, Artificial Intelligence, statistics or related quantitative subjects, as well as people from other disciplines who want to solve Data Science tasks.