Machine learning: linear algebra, non-deep classifiers Learning Goals Understand what is possible with machine learning that isn't deep; when to refrain from reaching for neural nets Understand practical numerical linear algebra Exercises cs20si 1-2: logistic regression for coronary heart disease prediction fast.ai linalg 7: PageRank with eigendecompositions fast.ai linalg 4-6: Linear Regression fast.ai linalg 3: Background Removal with Robust PCA fast.ai linalg 2: Topic Modeling with NMF and SVD cs231n: 1-2: Training a Support Vector Machine cs231n: 1-1: k-Nearest Neighbor classifier