NCA-ADS - Data Manipulation and Preparation - Section 1.6

Apply dimensionality reduction.

Apply dimensionality reduction methods such as PCA and UMAP to reduce feature space while preserving variance or local structure. Distinguish between linear and non-linear approaches and select each based on the data geometry and downstream task.

More in this domain

Back to all Data Manipulation and Preparation objectives, or the NCA-ADS cert hub.

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