Even in 2014 (grad cs degree), my data mining professor said SVM were advantageous over neural nets due to local maxima problem, so we never learned neural nets in class.
That's a bit weird. Sure it's an advantage if you can optimize the object function more easily. But the end goal is generalization, i.e. performance on new data. The objective function is only a proxy for that.
