Visit our Christmas Gift Finder
Mathematical Underpinnings of Analytics: Theory and Applications (Hardback)
  • Mathematical Underpinnings of Analytics: Theory and Applications (Hardback)
zoom

Mathematical Underpinnings of Analytics: Theory and Applications (Hardback)

(author)
£31.49
Hardback 280 Pages / Published: 27/11/2014
  • We can order this

Usually dispatched within 1 week

  • This item has been added to your basket
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.

Publisher: Oxford University Press
ISBN: 9780198725091
Number of pages: 280
Weight: 714 g
Dimensions: 240 x 162 x 23 mm


MEDIA REVIEWS
It is an essential read for any mathematician * Alan Stevens, Mathematics Today *
There is a great need for this book, which connects the typical analytical problems that organizations face with the underlying maths and statistics to solve them. Grindrod communicates his deep expertise ... for executives who want to understand the math underlying their businesses, and the quant geeks who want to know the business problems they are capable of addressing * Thomas H. Davenport, Babson College, MIT Fellow, Author of Competing on Analytics and Big Data @ Work *

You may also be interested in...

Linear Algebra
Added to basket
£31.49
Paperback
Financial Modeling
Added to basket
Mathematical Techniques
Added to basket
Computational Science and Engineering
Added to basket
Chaos
Added to basket
£10.99
Paperback
Nonlinear Dynamics and Chaos
Added to basket
A First Course in Coding Theory
Added to basket
Biomeasurement
Added to basket
£28.99
Paperback
Networks: A Very Short Introduction
Added to basket
Schaum's Outline of Numerical Analysis
Added to basket
Probability and Random Processes
Added to basket
Mathematics for Biological Scientists
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.