Mathematical Foundations of Data Science

Although it is widely recognized that analyzing large volumes of data by intelligent methods may provide highly valuable insights, the practical success of data science has led to the development of a sometimes confusing variety of methods, approaches and views. This practical textbook aims to point...

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Bibliographic Details
Main Authors: Hrycej, Tomas (Author), Bermeitinger, Bernhard (Author), Cetto, Matthias (Author), Handschuh, Siegfried (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Texts in Computer Science,
Subjects:
Online Access: Full text (Wentworth users only)