[dj-wonk]

The "text data" decision point seems arbitrary and in my opinion, not useful. I've analyzed text data with a Naive Bayes a classifier as well as SVM. I really like what the chart is trying to be, but I think it is editorializing too much.

[scottlocklin]

That entire map is complete and utter baloney as a general guide, though it may mean something in terms of skikit-learn.

Hastie has a decent classification of the strengths and weaknesses of different learning algorithms in his book. It's not a decision tree. It will never be a decision tree.

[yaur]

Seeing this (a while ago) from the perspective of someone that was a complete noob to machine learning I found it extremely useful. It my not be the end-all-be-all, but I found it a useful graphic for figuring out which algorithms I should research to solve a specific ML problem.

[cognibits]

I guess the chart is designed to those who are doing their first steps in the machine learning world. It makes order. BTW I have nothing to do with scikit-learn, I shared it as I found it to be useful.

[dj-wonk]

Thanks for sharing it. I think it is a good start; it gives people something to react and build upon.