Notes on ML in production
Today, I find myself working on another Machine Learning (ML) model with the goal of putting it in production. I thought a good first step would be to look back on my previous experiences and identify what (not) to do! I won’t explain what ML is in this article, or which algorithm(s) to pick according to different cases; I’ll go through good practices like: how to start, what not to forget about and little tricks to make your life easier....