Looks like deep learning models are good enough to solve almost all types of ML problems. So isn't learning that sufficient instead of doing every other ML algorithms? Or others are still needed in specific situations?
Sometimes you don't need deep networks to solve a problem, so you can save money and be more environmentally friendly by not using one.<p>Are ML models really solving something?