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1·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。

2·Emphasizes history of probability theory and computational approaches to probabilistic and causal inference.

重点介绍机率理论的历史，以及机率理论和因果推理的计算方法。

3·Emphasizes history of probability theory and computational approaches to probabilistic and causal inference.

重点介绍概率理论的历史，以及盖然论和因果推理的计算方法。

4·A structural regression model for causal inference is established to estimate the average treatment effect under strongly ignorable treatment assignment.

建立强可忽略处理分配条件下因果推断的结构回归模型，估计平均处理效应。

5·While the literature supports this premise, there is little empirical evidence that patterns of causal inference in the relationship are clearly understood.

虽然文献支持这一前提下，有很少的经验证据表明，在关系中的因果关系的推理模式是清楚地理解。