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