Causal AI

Discover the transformative world of artificial intelligence with Causal AI by Robert Ness, published by Manning Publications in 2025. This comprehensive hardback edition spans 520 pages, providing a practical introduction to constructing AI models that effectively reason about causality.

Robert Ness employs a clear, code-first approach, demystifying essential concepts of causal machine learning that are often buried in academic literature. With Causal AI, you will gain valuable insights that can be readily applied to real-world industry challenges, from developing explainable causal models to predicting counterfactual outcomes.

Whether you are a seasoned professional or a curious newcomer, this book equips you with the tools needed to navigate the complexities of causal reasoning in AI. Enhance your understanding and elevate your projects with this essential resource!