Feature

Designing input features to expose useful structure (e.g., ratios, lags, aggregations), often crucial outside deep le...

The internal space where learned representations live; operations here often correlate with semantics or generative f...

A parameterized mapping from inputs to outputs; includes architecture + learned parameters.

The learned numeric values of a model adjusted during training to minimize a loss function.

The field of building systems that perform tasks associated with human intelligence—perception, reasoning, language...

The relationship between inputs and outputs changes over time, requiring monitoring and model updates.