AutoML

Automated Machine Learning

Tools that auto-select algorithms, features, and hyperparameters.

When you'd see it: Teams without deep ML expertise, or to set a quick baseline. Cloud platforms offer AutoML services.

Why it matters: AutoML automates picking algorithms, features, and settings, letting non-specialists produce a working model fast. It is great for baselines and simple problems, less so for novel or high-stakes ones.

Common mistakes: Treating AutoML output as final. It produces a reasonable model, not necessarily the right one, and it can hide the judgment a problem actually needs.