In the most general case of quantum machine learning, both the learning device and the system under study, as well as their interaction, are fully quantum.
One class of problem that can benefit from the fully quantum approach is that of 'learning' unknown quantum states, processes or measurements, in the sense that one can subsequently reproduce them on another quantum system.