Double Machine Learning for Causal Inference
中文摘要
双重机器学习通过处理海量混杂因素，在因果推断中实现对处理效应的精准估算。
English Summary
Double Machine Learning enables precise treatment effect estimation in causal inference by handling high-dimensional confounders that are too numerous for manual processing.
Original Excerpt
Estimating treatment effects when confounders are too numerous to handle by hand Continue reading on Medium »