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&#x27;s and GBT&#x27;s seem to mostly dominate structured problems, while neural nets  dominate unstructured datasets (as they can do feature extraction), according to talk I attended.