The future of machine learning will not be defined only by larger models. Much of the progress will come from learning with less supervision, automating model design, running models closer to users and making them accountable when their decisions affect society.
Google Colab notebook: Open in Google Colab · Raw Notebook: Download .ipynb
For this exercise, I developed a recommender system in stages, from simple baselines to biased matrix factorisation, before asking whether SHAP explanations make individual predictions more understandable. What stood out was that better rating prediction did not automatically produce better top-10 ranking.