中图分类法:	TP274 版次：
中图分类法:	C81 版次：
著者:	Grindrod, Peter,
题名:	Mathematical underpinnings of analytics : [ theory and applications /] / ,
载体形态:	xiii, 261 pages : illustrations (some color) ; 25 cm
内容提要:	"Analytics is the application of mathematical concepts to large data sets so as to distil insights that provide options for action, competitive advantage and value creation. This makes it the most desirable and valuable part of data science. Driven by the increased data capture from digital platforms, commercial fields are becoming data rich and analytics is growing in many customer facing sectors. Future jobs, careers, corporate success and economic growth depend on organisations' ability to deploy radical and differentiating analytics over proprietary and open data resources. This book presents analytics within a framework of mathematical theory and concepts building upon foundations of probability theory, graphs and networks, random matrices, linear algebra, optimization, forecasting, discrete dynamical systems, and more. Applications are given to data from commercially relevant interests: supermarket basket