
909: Causal AI, with Dr. Robert Usazuwa Ness
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Advancing Causal Models with Bayesian Networks
This chapter explores the evolution of causal models through probabilistic graphical modeling, focusing on Bayesian networks for causal inference. It highlights the development of advanced probabilistic programming languages and cutting-edge technology, such as the Tranium 2 Ultra Servers, that enhance capability in deep learning and Bayesian inference.
Transcript
Play full episode