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The Resource Mathematical underpinnings of analytics : theory and applications, Peter Grindrod, CBE, Mathematical Institute, University of Oxford

Mathematical underpinnings of analytics : theory and applications, Peter Grindrod, CBE, Mathematical Institute, University of Oxford

Label
Mathematical underpinnings of analytics : theory and applications
Title
Mathematical underpinnings of analytics
Title remainder
theory and applications
Statement of responsibility
Peter Grindrod, CBE, Mathematical Institute, University of Oxford
Creator
Subject
Language
eng
Summary
Analytics is the application of mathematical and statistical concepts to large data sets so as to distil insights that offer the owner some options for action and competitive advantage or value. This makes it the most desirable and valuable part of big data science. Driven by the increased data capture from digital platforms, commercial fields are becoming data rich and analytics is growing in many sectors. This book presents analytics within a framework of mathematical theory and concepts building upon firm theory and foundations of probability theory, graphs and networks, random matrices, linear algebra, optimization, forecasting, discrete dynamical systems, and more. Following on from the theoretical considerations, applications are given to data from commercially relevant interests: supermarket baskets; loyalty cards; mobile phone call records; smart meters; 'omic' data; sales promotions; social media; and microblogging. Each chapter tackles a topic in analytics: social networks and digital marketing; forecasting; clustering and segmentation; inverse problems; Markov models of behavioural changes; multiple hypothesis testing and decision-making; and so on. Chapters start with background mathematical theory explained with a strong narrative and then give way to practical considerations and then to exemplar applications. Exercises (and solutions), external data resources, and suggestions for project work are given. The book includes an appendix giving a crash course in Bayesian reasoning, for both ease and completeness.--
Assigning source
Provided by Publisher
Cataloging source
YDXCP
http://library.link/vocab/creatorName
Grindrod, Peter
Dewey number
006.31
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
  • Data mining
  • Mathematical analysis
  • Big data
Label
Mathematical underpinnings of analytics : theory and applications, Peter Grindrod, CBE, Mathematical Institute, University of Oxford
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 251-258) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
Introduction: The Underpinnings of Analytics 1: Similarity, Graphs and Networks, Random Matrices and SVD 2: Dynamically Evolving Networks 3: Structure and Responsiveness 4: Clustering and Unsupervised Classication 5: Multiple Hypothesis Testing Over Live Data 6: Adaptive Forecasting 7: Customer Journeys and Markov Chains Appendix: Uncertainty, Probability and Reasoning
Control code
FIEb17785443
Dimensions
25 cm.
Edition
First edition.
Extent
xiii, 261 pages
Isbn
9780198725091
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
System control number
(OCoLC)892563228
Label
Mathematical underpinnings of analytics : theory and applications, Peter Grindrod, CBE, Mathematical Institute, University of Oxford
Publication
Bibliography note
Includes bibliographical references (pages 251-258) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
Introduction: The Underpinnings of Analytics 1: Similarity, Graphs and Networks, Random Matrices and SVD 2: Dynamically Evolving Networks 3: Structure and Responsiveness 4: Clustering and Unsupervised Classication 5: Multiple Hypothesis Testing Over Live Data 6: Adaptive Forecasting 7: Customer Journeys and Markov Chains Appendix: Uncertainty, Probability and Reasoning
Control code
FIEb17785443
Dimensions
25 cm.
Edition
First edition.
Extent
xiii, 261 pages
Isbn
9780198725091
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
System control number
(OCoLC)892563228

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