Make Math for ML Intuitive

λ

Eigenvectors & Eigenvalues

Visualize linear transformations and discover eigenvectors - the special directions that only scale during transformation. See how eigenvalues determine the scaling factor.

Available
D

Diagonalization

Understand A = PDP⁻¹ decomposition. See how any transformation is just scaling when viewed in the eigenvector basis. The key to understanding matrix powers.

Available
Σ

Singular Value Decomposition

Explore SVD and discover the "best" orthogonal basis for any matrix. The generalization of eigendecomposition that works for all matrices.

Coming Soon
σ

Principal Component Analysis

Reduce dimensionality by finding principal components. See how PCA uses eigenvectors to capture the most important directions in your data.

Coming Soon