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

By: (Author) Fionn Murtagh

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Ksh 8,800.00

Format: Paperback / Softback

ISBN-10: 0367657759

ISBN-13: 9780367657758

Series: Chapman & Hall/CRC Computer Science & Data Analysis

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 30th, 2020

Print length: 206 Pages

Weight: 430 grams

Dimensions (height x width x thickness): 17.80 x 25.20 x 1.80 cms

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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.

"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.


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