Why Old-School ML Models Still Win in Production: Naive Bayes, Logistic Regression & Decision Trees
Updated: September 17, 2026
Shipping "modern AI" inside a $200 gadget is a fast way to learn that benchmarks don’t answer support tickets. If your backend lags, customers don’t blame latency - they blame your device, then they ask for a refund. This post is a tour of the boring models that still survive production: Naive Bayes, logistic regression, trees, random forests, and even HMMs. They’re fast, cheap, debuggable, and they fail in ways you can actually explain. read on »