### Abstract

- 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.

Language | English |
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Place of Publication | Boca Raton, FL |

Publisher | CRC Press |

Number of pages | 206 |

ISBN (Print) | 9781498763936 |

Publication status | Published - 7 Sep 2017 |

### Publication series

Name | Computer Science & Data Analysis Series |
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Publisher | Chapman & Hall/CRC |

### Fingerprint

### Cite this

*Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics*. (Computer Science & Data Analysis Series). Boca Raton, FL: CRC Press.

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*Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics*. Computer Science & Data Analysis Series, CRC Press, Boca Raton, FL.

**Data Science Foundations : Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics.** / Murtagh, Fionn.

Research output: Book/Report › Book

TY - BOOK

T1 - Data Science Foundations

T2 - Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

AU - Murtagh, Fionn

PY - 2017/9/7

Y1 - 2017/9/7

N2 - "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 UniversityData 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.

AB - "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 UniversityData 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.

KW - Mathematics

KW - Statistics

KW - Data analysis

KW - Machine learning

KW - Pattern recognition

UR - https://www.crcpress.com/Data-Science-Foundations-Geometry-and-Topology-of-Complex-Hierarchic-Systems/Murtagh/p/book/9781498763936

M3 - Book

SN - 9781498763936

T3 - Computer Science & Data Analysis Series

BT - Data Science Foundations

PB - CRC Press

CY - Boca Raton, FL

ER -