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SVM by hand ✍️ ~ 19 steps walkthrough below (Linear vs RBF)Support Vector Machines reigned supreme in machine learning before the deep learning revolution.An SVM predicts with dot products, the same matrix multiplication every model uses. What it does not do is train by backpropagation: it is fitted by convex optimization, so there is no matrix-multiplication backward pass for a GPU to accelerate.I drew and calculated two SVMs by hand: a linear one (top) and an RBF one (bottom), classifying the
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