Double ML and Feature Engineering with BERT: A Powerful Combination
Double Machine Learning (DoubleML) is a statistical framework that provides a robust approach to causal inference. By leveraging machine learning algorithms for both estimation and inference, DoubleML offers a flexible and efficient method for causal analysis. In this article, we’ll explore how to combine DoubleML with Bidirectional Encoder Representations from Transformers (BERT) for feature engineering,…