What is Big Data?

A neural architecture optimized for processing grid-like data such as images.

Techniques that create modified training examples to improve model generalization.

Initial large-scale model training on broad data before downstream adaptation.

A policy where request/response payloads are not stored after processing beyond short-lived operational windows.

A simple reference model used to compare whether more complex approaches actually improve results.

A consistent pattern of error or unfairness in data or model behavior.