首页|Study Findings from SDA Bocconi School of Management Provide New Insights into M achine Learning (Bayesian Network Methodology and Machine Learning Approach: an Application On the Impact of Digital Technologies On Logistics Service Quality)
Study Findings from SDA Bocconi School of Management Provide New Insights into M achine Learning (Bayesian Network Methodology and Machine Learning Approach: an Application On the Impact of Digital Technologies On Logistics Service Quality)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting out of Milan, Italy, by NewsRx editors, research st ated, “PurposeThis paper aims to use Bayesian network (BN) methodology complemen ted by machine learning (ML) and what-if analysis to investigate the impact of d igital technologies (DT) on logistics service quality (LSQ), this study estimates the probability distributio ns associated with both DT and SERVQUAL logistics, as well as their interrelatio nships.” Financial support for this research came from European Union-NextGenerationEU.
MilanItalyEuropeBayesian NetworksCyborgsEmerging TechnologiesMachine LearningTechnologySDA Bocconi Schoo l of Management
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