Classical ML
Classic Classifiers
Margins, neighbors, and Bayes — the classifier families beyond lines and trees
KNN & Naive Bayes
coreThe two simplest strong baselines: k-nearest neighbors memorizes the data and votes at query time, while Naive Bayes multiplies per-feature evidence under a deliberately false independence assumption.
12 minknnnaive-bayesclassificationlazy-learningtext-classificationbaselinesSVMs & the Kernel Trick
coreMaximum-margin classification from hinge loss to the dual formulation, and why an algorithm that only touches inner products gets nonlinear boundaries almost for free via kernels.
12 minclassificationsvmkernelsmax-margin