Summary I present a weak supervision paradigm called “data programming” which uses maximum likelihood estimation to produce soft labels from heuristics. These soft labels can then be used to train other models, without true labels being required at any stage. I’ve included a simple example from first principles to show that the methods work. The original authors have a fully featured package called Snorkel which provides sophisticated data programming and related features. Introduction There’s a...