They currently really excel at unstructured data - images and text and speech. If you have structured data though (columns, regular features) it really depends.

They currently really excel at unstructured data - images and text and speech. If you have structured data though (columns, regular features) it really depends. In Kaggle, RF's and GBT's seem to mostly dominate structured problems, while neural nets dominate unstructured datasets (as they can do feature extraction), according to talk I attended.