Dimensionality Reduction
D
Dimensionality Reduction
Definition
Techniques that reduce the number of input features in a dataset while preserving as much relevant information as possible. Methods like PCA, t-SNE, and UMAP help visualize high-dimensional data, reduce noise, and improve model training efficiency.