An Introduction to Data Mining
That tree's a good example of how not to do it.<p>For one thing,  it's representing something that's not really a tree.  "Support Vector Machine" and "Neural Networks" appear more than once as leaf nodes.  Like any Chinese Encyclopedia classifications they often succumb to the temptation to add nodes that say "Other" to keep the length of the branches constant.  (They could probably think of some name for what neural nets and the SVM have in common -- they've got all day to think about this stuff because they get paid to teach and to do research,  it's not like they are harried practitioners.)<p>At some point I quit distinguishing regression and classification.  There was a time when I knew some tricks for classification and regression seemed mysterious.  Once I got over my mental block it seemed pretty obvious that much of my box of tricks worked for regression too.<p>Another issue is that it's not a good graphic for the web.  You could probably print this out and read it but you can't take it in at glance on the web which destroys the purpose of it being an infographic