What does “Feature” mean?

Designing or transforming input variables to make learning easier and more effective.

A model that makes predictions through a sequence of if-then feature splits.

Converting raw data into informative features that a model can use.

A managed system for storing and serving validated ML features consistently for training and inference.

Policies, standards, and oversight mechanisms that guide how AI is developed and used in society.

Human-added labels or metadata used to train or evaluate machine learning models.