What does an average AI prof know that a physics graduate who can code doesn't know?
Machine learning, more math/probability theory/belief networks background?
A good physics or math grad who has done bayesian stats is at no disadvantage on the machine learning stuff, but what do you mean by "belief networks background"?
Do you mean "deep belief networks"?
This thread is for the discussion of Less Wrong topics that have not appeared in recent posts. If a discussion gets unwieldy, celebrate by turning it into a top-level post.