Applied Causal Inference Powered by ML and AI

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An introduction to the emerging fusion of machine learning and causal inference.

• The book presents ideas from classical structural equation models (SEMs) and their modern AI equivalent, directed acyclical graphs (DAGs) and structural causal models (SCMs), and covers Double/Debiased Machine Learning methods to do inference in such models using modern predictive tools.