Risk and Predictive Analytics with R by Özgür M. Araz (.ePUB)+
File Size: 27.0 MB
Risk and Predictive Analytics in Business with R by Özgür M. Araz, David L. Olson
Requirements: .ePUB, .PDF reader, 27.0 MB
Overview: Supply chain operations face many risks, including political, environmental, and economic. The past five years have seen major challenges, from pandemic, impacts of global warming, wars, and tariff impositions. In this rapidly changing world, risks appear in every aspect of operations. This book presents data mining and analytics tools with R programming as well as a brief presentation of Monte Carlo simulation that can be used to anticipate and manage these risks. RStudio software and R programming language are widely used in data mining. For Monte Carlo simulation applications we cover Crystal Ball software, one of a number of commercially available Monte Carlo simulation tools.
Genre: Non-Fiction > General
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