Machine Learning, Artificial Intelligence, Fairness, Deep Learning, Towards Data Science.
always a compressed representation of it. This notion, of the necessity of concepts in true interpretability, provides a lens into why we often find deep learning models in particular hard to “grok”. It’s certainly true that part of this is attributable to the architecture of the model itself. But