Umap, Machine Learning, AI, Dimensionality Reduction.
most important information while reducing the dimensionality of the data. Let’s briefly explore some of the common linear techniques. Principal Component Analysis (PCA) — Reducing Variance: sour;ce: makeameme PCA identifies orthogonal axes (principal components) in the data, ranked by their