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Mathematical Underpinnings of Analytics

Mathematical Underpinnings of Analytics

ISBN 9780198725091
Publication Date
Publisher Oxford University Press
Author(s)
Overview
The book focuses on the mathematical underpinnings of methods in analytics, underlying the relevance of modern mathematical methods to analytics challenges. The book contains insights from the experience of the author working within commercial sectors and leading analytics teams. The breadth of the material covered contains elements of mathematical modelling, applied statistics, network theory, matrix functions and linear algebra, computational learning methods, probability theory, and stochastic processes; so it cannot be considered as a subfield of any one of these on its own. Examples applications are given in retail, e-commerce, telecoms, energy demand, advertising and digital marketing.
Overview
The book focuses on the mathematical underpinnings of methods in analytics, underlying the relevance of modern mathematical methods to analytics challenges. The book contains insights from the experience of the author working within commercial sectors and leading analytics teams. The breadth of the material covered contains elements of mathematical modelling, applied statistics, network theory, matrix functions and linear algebra, computational learning methods, probability theory, and stochastic processes; so it cannot be considered as a subfield of any one of these on its own. Examples applications are given in retail, e-commerce, telecoms, energy demand, advertising and digital marketing.

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