Manning Causal AI - Causal Machine Learning and Inference Book

Move beyond simple correlation and gain the ability to predict outcomes based on actual causal relationships. Manning's Causal AI provides the technical foundation needed to understand what might happen if you change specific variables. Instead of relying on patterns that may not hold true under new conditions, this book teaches you how to make precise and timely interventions through causal machine learning. By focusing on how to control outcomes, you can build more robust systems. This resource covers essential topics including causal reinforcement learning algorithms and the implementation of causal inference using modern probabilistic machine tools like PyTorch and Pyro. Whether you are looking to compare statistical methods with econometric approaches or need to set up algorithms for attribution and credit assignment, this book offers the practical knowledge required for advanced data science and machine learning applications.