Question

A data science team at a logistics company has spent three weeks feeding millions of historical delivery records into an algorithm so it can learn the patterns that link route, weather, and package weight to delivery time. This compute-intensive process runs on a large GPU cluster. Once complete, the resulting model will be used to estimate delivery times for new orders as they arrive. Which phase does the three-week GPU cluster activity represent?

Accepted Answer

Training, because the model is learning patterns from historical data

Answer

Inference, because the model is producing delivery-time estimates

Answer

Feature engineering, because raw records are being transformed into inputs

Answer

Data labeling, because the delivery times are being added as labels