2 docs tagged with "pca"

A beginner-friendly explanation of Eigenvalues and Eigenvectors, their geometric meaning, and their critical role in dimensionality reduction (PCA) and data analysis.

A detailed explanation of Singular Value Decomposition (SVD), why it is the most general matrix decomposition, its geometric meaning, and its critical applications in dimensionality reduction and recommender systems.