Comment by version_five

I'd argue software engineering is still too hard for ML engineers. Most of ML (not research but commercial applications of what's already been demonstrated) is now well within the realm of engineering, but there are few standard practices, bodies of knowledge, or agreed on processes for doing anything. These are problems that engineering formalism solve, not another auto-ml tool. Maybe I'm saying the same thing as the article, just framed differently?