> do people actually use SVMs anymore? Yes they are. They allow for non-linear decision boundaries and more dimensions than rows of data, which for many other

> do people actually use SVMs anymore? Yes they are. They allow for non-linear decision boundaries and more dimensions than rows of data, which for many other ML methods is a problem. Linear regression, logistic regression, SVM and CART decision trees are all still very popular in the real world where data is hard to come by.