Making less intuitive concepts intuitive — Eigenvalues & Eigenvectors are central (but not limited) to many of the well-known machine learning algorithms. Algorithms like SVD, PCA, spectral clustering, image segmentation, 3D reconstruction use eigenvalues & eigenvectors as their core logic to function. Despite their usefulness, their criticality in many well-known applications & being part of linear…