MFML 099 - SVMs and the kernel trick

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Behold! A magical towel to demonstrate the kernel trick that makes support vector machines (SVMs) tick.

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Isn't the kernel trick, the trick not to project the data set into higher dimension space but to quantify similarity between the each data point pair using inner product using a function. Hence making a decision boundary in higher dimension space without actually going there.

Ash-bcvw