NCA-GENL - Data Analysis and Visualization - Section 4.3

Prepare information for machine learning tasks on the GPU.

Prepare raw data for machine learning by performing normalisation, encoding, and feature engineering directly on the GPU to minimise CPU-to-GPU transfer overhead. Understand how GPU-resident data pipelines reduce training bottlenecks, and apply tools such as RAPIDS cuML and DALI for end-to-end GPU data preparation.

Examworthy is not affiliated with or endorsed by NVIDIA. Original, blueprint-aligned practice material only.