Causal AI by Robert Osazuwa Ness
Causal AIis 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.Robert Ness is a leading researcher in causal AI at Microsoft Research. He is a contributor to open-source causal inference packages such as Python's DoWhy and R's bnlearn.
| SKU | Unavailable |
| ISBN 13 | 9781633439917 |
| ISBN 10 | 1633439917 |
| Title | Causal AI |
| Author | Robert Osazuwa Ness |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Manning Publications |
| Year published | 2025-04-07 |
| Number of pages | 500 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |