Facurer M. Causal Inference in Python: Applying Causal Inference in the Tech Industry (final release)

O’Reilly, 2023. — 496 p. — ISBN: 978-1-098-14025-0.This book is an introduction to Causal Inference in Python, but it is not an introductory book in general. It’s introductory because I’ll focus on application, rather than rigorous proofs and theorems of causal inference; additionally, when forced to choose, I’ll opt for a simpler and intuitive explanation, rather than a complete and complex one. It is not introductory in general because I’ll assume some prior knowledge about Machine Learning (ML), statistics, and programming in Python. It is not too advanced either, but I will be throwing in some terms that you should know beforehand.How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference.