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Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Murtagh, Fionn (2017) Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics. Computer Science and Data Analysis Series . CRC Press, Chapman & Hall, Taylor & Francis Group, Boca Raton, FL, USA. ISBN 9781498763936

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Abstract

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in my teaching."
- Mark Girolami, Warwick University

Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

Item Type: Book
Uncontrolled Keywords: Mathematics, statistics, data analysis, machine learning, pattern recognition
Subjects: H Social Sciences > HA Statistics
Q Science > Q Science (General)
Q Science > QA Mathematics
T Technology > T Technology (General)
Related URLs:
Depositing User: Fionn Murtagh
Date Deposited: 24 Oct 2017 09:53
Last Modified: 24 Oct 2017 09:58
URI: http://eprints.hud.ac.uk/id/eprint/33704

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