I don't have up to date information but I think the answer is probably yes. Deep learning works well when you have huge amounts of data and computational resou

I don't have up to date information but I think the answer is probably yes. Deep learning works well when you have huge amounts of data and computational resources but for smaller scale problems other models, including Random Forests seem to perform better. At least that was my understanding several years ago when I was participating in Kaggle competitions, but I would be surprised if it has changed very much (unless the problem is such that some existing DL model can be adapted to it). I think kaggle.com has quite a few resources on machine learning so you might try looking around there for better information.