This month we're reading Imbens & Rubin's book on causal inference at our machine learning reading group at Columbia. It was my turn to present chapter 12 of that book this week. Here are my summary notes for that chapter:Summary Notes of Chapter 12
I learnt from this book that causality is fun. That hasn't happened to me before. Maybe it's just that the ideas around causal inference that we've been studying in the reading group for a decent length of time now are finally starting to click.