A calculator outperforms deep learning on basic arithmetic tasks.
Tree-based models are extremely good at finding clustering patterns; they outperform trained humans at that, thus we have commercial applications such as fraud detection.
Deep Learning is most promising way of getting us to general intelligence. So far only known general intelligence, human intelligence, has many quirks at specific tasks and I think Deep Learning won't be any different. However Deep Learning models can recognise their own weakness and call tree-based model if they think that's appropriate.
Tree-based models are extremely good at finding clustering patterns; they outperform trained humans at that, thus we have commercial applications such as fraud detection.
Deep Learning is most promising way of getting us to general intelligence. So far only known general intelligence, human intelligence, has many quirks at specific tasks and I think Deep Learning won't be any different. However Deep Learning models can recognise their own weakness and call tree-based model if they think that's appropriate.