摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果将在一份新报告中讨论。根据NewsRx编辑在谢菲尔德，United Ted Kingdom的新闻报道中说，“随机的”离散事件和基于agent的仿真等建模技术在供应链中得到了广泛的应用用于捕捉真实世界不确定性的管理(SCM)。在过去十年里，数据驱动的方法像机器学习一样,(ML)也在供应链管理中得到了显著的应用,它采用了监督学习等方法学习(SL)，无监督学习(UL)，强化学习(RL)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting out of Sheffield, Uni ted Kingdom, by NewsRx editors, research stated, “Stochasticmodeling techniques , such as discrete-event and agent-based simulation, are widely used in supply c hainmanagement (SCM) for capturing real-world uncertainties. Over the last deca de, data-driven approacheslike machine learning (ML) have also gained prominenc e in SCM, employing methods such as supervisedlearning (SL), unsupervised learn ing (UL), and reinforcement learning (RL).”
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