Machine learning label vs feature, and other common terms

This is a beginner resource, but it is worth keeping because feature, label, target, and ground truth confusion still causes real project mistakes.

Useful as a glossary-level companion to the ML terminology posts. The caveat is that the definitions are introductory, so they should support judgment rather than replace model-review rigor.