Cut from the introduction:
Finally the economic incentive. By using machine learning for this task we are freeing up the man-hours of dozens if not hundreds of astrophysics PhD students whose sole existence is to categorize galaxies, quasars, and red giants for their thesis advisers. In this manner we follow the footsteps of Bertrand Russel who advocated for shorter working hours in American industrial revolution of the 20th century \cite{russell-idleness}. Today, thanks to the increasing plurality of machine learning tools we are again questioning what is a necessary weekly hourly allocation of work.