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Kernel Methods and Random Fourier FeaturesLinear SVM, least squares classifiers, Gaussian and Laplacian kernels, random Fourier feature approximation, and RKHS theory on MNIST digits.
11 min -
Soft-Margin SVMs: Linear and KernelImplementing soft-margin linear SVM and polynomial kernel SVM from scratch with gradient descent, grid search over learning rates and regularization.
6 min
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