From the post:
We give a simple explanation of the interrelated machine learning techniques called kernel methods and support vector machines. We hope to characterize and de-mystify some of the properties of these methods. To do this we work some examples and draw a few analogies. The familiar no matter how wonderful is not perceived as mystical.
Did the authors succeed in their goal of a “simple explanation”?
You might want to compare the Wikipedia entry they cite on support vector machines before making your comment. Success is often a relative term.