January 2018
Intermediate to advanced
268 pages
6h 20m
English
There is something called the kernel trick that we use in SVMs. Consider the following image:

As we can see, we cannot draw a simple straight line to separate the red points from the blue points. Coming up with a nice curvy boundary that will satisfy all the points is prohibitively expensive. SVMs are really good at drawing straight lines. So, what's our answer here? The good thing about SVMs is that they can draw these straight lines in any number of dimensions. So technically, if you project these points into a high dimensional space, where they can be separated by a simple ...
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