Avoiding rookie errors in machine learning

Or, how not to screw up

Source: John T on Unsplash

This is a written version of a talk I gave at McGill University in January 2019. Subsequently, Andrej Karpathy wrote an excellent post, somewhat more technical and deep-learning specific but with overlapping content — check that out here.

You can track your deepening expertise of a topic by the quality and quantity of the…