[mathgenius]

Right, scalability is a good point to consider. Along the same vein, my last ml job we ended up using gradient boosting which worked really well, but definitely does not scale to big data (afik.) Robustness is another thing to consider, both svm's and neural networks need a reasonable amount of data-massaging before they behave themselves. Hence the success in image processing where every pixel can be treated equally.