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Mathematical Underpinnings of Analytics: Theory and Applications for Data Science in Customer-Facing Industries
Peter Grindrod
€ 77.03
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Description for Mathematical Underpinnings of Analytics: Theory and Applications for Data Science in Customer-Facing Industries
Hardcover. A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries. Num Pages: 280 pages, 25 colour and 14 b/w illustrations. BIC Classification: PBV; PBWH. Category: (G) General (US: Trade). Dimension: 242 x 164 x 23. Weight in Grams: 718.
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, ... Read more
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, ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Oxford University Press
Condition
New
Number of Pages
276
Place of Publication
Oxford, United Kingdom
ISBN
9780198725091
SKU
V9780198725091
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-6
About Peter Grindrod
Peter Grindrod researches a range of topics in analytics for customer-facing industries and in particular for the digital society. He is in an almost unique position of having experience within commercial settings as well as within academia. He is a former President of the Institute of Mathematics and its Applications, member of the EPSRC and Chair of the EPSRC's User ... Read more
Reviews for Mathematical Underpinnings of Analytics: Theory and Applications for Data Science in Customer-Facing Industries
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 ... Read more
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 ... Read more