.
├── 00-syllabus.html
├── 01-intro.html
├── 02-vectors.html
├── 03-linear-independence.html
├── 04-gaussian-elimination.html
├── 05-gaussian-elimination2.html
├── 06-vector-geometry.html
├── 07-kmeans.html
├── 08-cluster-evaluation.html
├── 09-hierarchical.html
├── 10-supervised-learning.html
├── 11-decision-trees.html
├── 12-knn.html
├── 13-classification-comparison.html
├── 14-matrix-algebra.html
├── 15-real-computation.html
├── 16-linear-transformations.html
├── 17-matrix-composition.html
├── 18-matrix-factorization.html
├── 19-lu-factorization.html
├── 20-lu-factorization-application.html
├── 21-subspaces.html
├── 22-orthogonality.html
├── 23-qr-decomposition.html
├── 24-least-squares.html
├── 25-linear-regression.html
├── 26-linear-regression.html
├── 27-eigenvalues.html
├── 28-diagonalization.html
├── 29-symmetric.html
├── 30-constrained-optimization.html
├── 31-svd.html
├── 32-reduced-svd.html
├── 33-svd-applied.html
├── 34-pca.html
├── 35-markov.html
├── 36-markov.html
├── 37-pagerank.html
├── 38-last-topics.html
├── 39-final-review.html
├── index.html
└── style.css
1 directory, 42 files
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