Causal Inference and Discovery in Python: A Practical Guide to DoWhy, EconML, PyTorch, and the Future of Causal ML
If you’ve ever shipped a machine learning model that nailed validation metrics but failed in production, you’ve felt the gap between prediction and decision. Causality is how we bridge that gap—by asking “what would happen if we change X?” instead of merely “what tends to happen when X is high?” It’s the difference between correlation…