What is the intuition behind why the SVM machine learning kernel trick works? It seems too good to be true, getting way more power for very little more computation. One would expect there to be no free lunch.
http://en.wikipedia.org/wiki/Kernel_trick
http://www.youtube.com/watch?v=bUv9bfMPMb4 (No one asks this question.)
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