[bchjam]

I've come to think of machine learning as an engineering approach for building more scalable statistical systems. Computational neuroscience seems like it does more math modeling for understanding of brain function, but still might use machine learning methods as part of its research.

Also, good is subjective, and we don't have wetware in our engineering toolchain anyway. Loosely coupled metaphors seem to be popular and effective due to ambiguities like this.