Robert Ness

Robert Osazuwa Ness researches generative AI at Microsoft Research. He is an adjunct professor in the Khoury School of Information Sciences at Northeastern University. He studied at Johns Hopkins University and Purdue University. He has a PhD in statistics.

books by Robert Ness

Causal AI
  • January 2025
  • ISBN 9781633439917
  • 520 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Data Analysis / Causal Inference

Causal AI introduces the tools, techniques, and algorithms of causal reasoning for machine learning. This unique book masterfully blends Bayesian and probabilistic approaches to causal inference with practical hands-on examples in Python. Along the way, you’ll learn to integrate causal assumptions into deep learning architectures, including reinforcement learning and large language models. You’ll also use PyTorch, Pyro, and other ML libraries to scale up causal inference.