[Topolomancer]

I agree that the image is wrong, but I find your suggestion a little bit too plain: _what_ kind of neural networks? How do I choose the training strategy, the learning rate, the architecture, etc.

This opens up a can of worms that can be overwhelming for beginners.

The list is not too bad actually, but the phrasing can be improved. For example, Naive Bayes should rather be introduced before LDA, as this will make LDA much more understandable.

Also, LVQ seems a little bit odd---I would rather discuss better strategies for neighbourhood enumeration (approximate kd-trees or something like that).