This post explores the integration of causal reasoning into machine learning models and focuses on de-biasing treatment effects with Double Machine Learning (DML). It explains what Average Treatment Effects (ATE) are and the challenges of estimating ATE using Linear Regression. The post then introduces Double Machine Learning
Table of contents
De-biasing Treatment Effects with Double Machine LearningWhat is this series of articles about?IntroductionAverage Treatment Effects (ATE)Estimating ATE using Linear RegressionDouble Machine Learning (DML)Marketing Case StudyOther methodsSort: