I can get a lot of theoretical knowledge in related fields, but I'm still confused about the implementation behind it. Unfortunately, I didn't find any examples on the Internet that I could try.

Like deep learning, real data such as minist will help new researchers get started quickly. The same research on robust optimization has become active over the years, and it has also begun to integrate well with machine learning.

I have just begun to understand it. Are many of the current achievements still need to be kept secret? Or is it because the field is too niche to share too much? (Please forgive my recklessness)

If there are indeed inconveniences, can someone point me a general direction of trying, in addition, I know in some papers that many people use GAMS to model, but for me as a student, the tool is too expensive Can anyone recommend an alternative tool for me? I will be very grateful.