——"诱导式学习(causal learning)与诊断式学习(diagnostic learning)前者是指对已有人物和事件及其他人给予的缘故原由解释的学习后者是指对正在发生的人物和事件举...
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Thus learning effects are theoretically distinct from scale effects, even if in practice they my be hard to differentiate due to e.g. uncertainty and causal ambiguity.
所以理论上学习效应和规模效应不同，尽管实际操作中由于不确定性和模糊的因果关系可能很难区分它们。
One area that's going to get a lot of attention is combining machine learning with causal inference.
未来有一个领域将会得到很多的关注，那就是将机器学习与因果推理相结合。
Index system of Balanced Score Card (BSC) is composed of causal dimensions including Financial, Customer, Internal Business Processes and Learning and growth.
平衡计分卡指标体系由具有因果关系的财务、客户、内部流程和学习与成长等维度构成。
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