To add to simonster's comment [1]: confusingly, OLS is also morally equivalent to what the map calls "SGD regressor" with a squared loss function[2]. It is also nearly equivalent, with lots of caveats and many details aside, to SVR with a linear kernel and practically no regularization.

So yeah, it is confusing. There is a lot of overlap between several disciplines and it's still an emerging field.

[1] https://news.ycombinator.com/item?id=7713940

[2] http://scikit-learn.org/dev/modules/sgd.html#regression