Core ML Concepts · beginner · concept 19 of 311 · Updated Nov 4, 2026

🧠Naive Bayes

A classifier that applies Bayes' theorem with one bold simplification: treat every feature as independent. Wrong assumption, great results, especially on text, where it filtered spam for a decade and still makes a hard-to-beat baseline. Also the cleanest example of a generative classifier next to logistic regression's discriminative approach.