Causality in Machine Learning

This chapter explores the concept of causality, its philosophical roots, and its practical applications in industry, particularly in machine learning. It highlights tools for causal effect estimation, discusses a new course on causality taught at Northeastern University, and emphasizes the importance of understanding causal modeling within the field.