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Data Science Foundations

Fionn Murtagh
€64.99
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Agglomerative Hierarchical Clustering
Agglomerative Hierarchical Clustering Algorithms
Author_Fionn Murtagh
Category=PBT
Category=PBW
Category=UN
Common Prefix
Correspondence Analysis
Critical Tweets
Data Set
data symmetry
data visualization
Dream Reports
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
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Euclidean Embedding
Factor Space
Finite Galois Field
Formal Concept Analysis
Haar Wavelet Transform
heirarchical data
Hierarchical Clustering
high dimensional
High Dimensional Data Spaces
information search
Input Data Tables
Longest Common Prefix
Marginal Sum
Multiple Correspondence Analysis
Number System
Photometric Redshift
Random Projections
social media
Ultrametric Distance
Ultrametric Space
Vice Versa
Wavelet Transform

Product details

  • ISBN 9780367657758
  • Weight: 410g
  • Dimensions: 178 x 254mm
  • Publication Date: 30 Sep 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

"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.
About Fionn Murtagh

Fionn Murtagh's very first post after his PhD was educational research at a national level, followed by nuclear energy risk assessment. He then worked for a dozen years on the Hubble Space Telescope, as a European Space Agency Senior Scientist. Following many Professor of Computer Science positions, teaching and research, and senior management positions in Ireland, France, USA and UK, he is very happy now to be advancing data science as Professor of Data Science, and Director, Centre for Mathematics and Data Science, at the University of Huddersfield.

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