Shifting complexity from modeling to interpreting results
A typical AI problem involves quite a bit of tinkering before the model can start learning. Say you want to recognize objects; you need a fairly large number of pictures depicting the objects and associated labels (the names of the objects). The pictures must be curated, to make sure that