Causal AI is a practical introduction to building AI models that can reason about causality. Robert Ness' clear, code-first approach explains essential details of causal machine learning that are hidden in academic papers. Everything you learn can be easily and effectively applied to industry challenges, from building explainable causal models to predicting counterfactual outcomes. Publisher: Manning Publications Author(s): Robert Osazuwa Ness Number of pages: 520 Publication date: 2025 Dimensions: 235 x 188 x 31 Cover type: Hardback