Glossary Entry

Feature Engineering

The process of turning raw data into model-ready signals that better represent the behaviour or structure a model needs to learn.

Data Training

Also called: engineered features, feature engineering

Seed source: Google Machine Learning Glossary

Feature engineering is where domain knowledge enters a model through the data. Instead of giving the model only raw fields, you create signals that make the useful structure easier to discover.

In customer modelling, this might mean turning event logs into call counts, recency flags, price percentiles, local market aggregates, or missingness indicators. The goal is not to hand-code the answer, but to expose the right clues in a form the model can use.