06 - PCA and Dimensionality Reduction: Compressing Data Intelligently

Compress data while keeping information: PCA finds directions of maximum variance. Eigenvalues of covariance matrix → principal components. Beyond PCA: t-SNE, UMAP for visualization, autoencoders. When to use each, trade-offs: accuracy vs visualizati...