I think the idea behind machine learning is that it can learn correlation and causality automatically. Can someone give an example of using causal ML to better solve a problem than non-causal ML methods?
I think the idea behind machine learning is that it can learn correlation and causality automatically. Can someone give an example of using causal ML to better solve a problem than non-causal ML methods?