Kernel Trick: used in SVM [Support Vector Machines] when the two parts of a binary classification don’t form a nice straight line.

Kernel Trick: used in SVM [Support Vector Machines] when the two parts of a binary classification don’t form a nice straight line.

What this does is remaps onto ANOTHER space that’s in a higher dimension that *can* work in a straight line.  This quick trick allows a line to be drawn between two parts, making something difficult, easy.

[ Map to high dimension so you can draw a straight line through two classes / categories. “Kernel Trick” used in Support Vector Machines (Machine Learning / AI ) ]

 

kernel-trick

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