> How is this different from any other field of science or engineering? The difference is that in most cases it is not so clear how well any given approach wil

> How is this different from any other field of science or engineering? The difference is that in most cases it is not so clear how well any given approach will work in a given scenario. Often the only option is to try, and if performance is not satisfying it is not easy to find a reason for it. Besides bugs or wrong model choice, it could be wrong training parameters, the quality or quantity of the data, and who knows how much more you would need. It's not necessarily different from SWE, problem solving is a general skill, the difficulty comes from the fact that there is no clear definition of "it works" and that there are no guidelines or templates to follow to find out what is wrong, if anything at all. In particular, many issues are not about the code.