Feature engineering is the process of selecting, transforming, and constructing input variables that help a model learn predictive patterns.
AI Glossary
Feature Engineering
Coverage in development
Feature engineering is the process of selecting, transforming, and constructing input variables that help a model learn predictive patterns.
Definition
Plain English explanation
You shape the raw data into useful columns or signals before (or instead of) relying only on end-to-end deep models.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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