Machine learning is a bigger set of techniques than deep learning. Linear regression and random forests still work fine and can get good results in many problem domains without particularly much compute hardware. In addition non-learned feature engineering can get good results in computer vision if you constrain your input images.

Do you have particular application areas or problems you want to apply ML to?