

















• 
Fitting
hyperplanes as



separators is
mathematically



easy.




– 
The
mathematics is linear.



• 
By replacing the
raw input



variables with a
much larger



set of features
we get a nice



property:




– 
A
planar separator in the



highdimensional
space of



feature
vectors is a curved


separator
in the low



dimensional
space of the



raw
input variables.

