I guess my point is, causal inference has been around for a long time whereas Causal ML just popped up a few years ago. So how is Causal ML different from Causal inference. What are the unique problem Causal ML tries to solve that Causal inference couldn’t?
I guess my point is, causal inference has been around for a long time whereas Causal ML just popped up a few years ago. So how is Causal ML different from Causal inference. What are the unique problem Causal ML tries to solve that Causal inference couldn’t?