The only reason why I advocate the easier algorithms is because most people understand how to take the mean of something and can intuitively understand what kmeans or knn will do to a dataset. And I'd even argue that most people wouldn't even consider something that was more than 3 dimensions.

Contrast that with SVM where you need to understand Lagrange Multipliers and differential calculus to see how those margins are setup.

Anyways, I think the author explained it far better than I could.