CAUSAL AI
Build AI models that can reliably deliver causal inference. Includes end-to-end causal inference with Do Why; Deep Bayesian causal generative AI models; A code-first tour of the do-calculus and Pearl's causal hierarchy; Code for fine-tuning causal large language models. For data scientists and machine learning engineers. Examples in Python.
						Format: Paperbound
						Pages: 490
						Publisher: Manning
						Publishing status: Current
						Size: 7¾x9¼ inches
						ISBN: 9781633439917
						Item #: 9142363