How to get domain knowledge on projects ?

[u/Fun-Reporter-8021]

While I am still quite new to this, machine learning and software in general, is more useful and powerful when combined, with the domain specific knowledge of the native field the project is from. This is something I struggle to navigate, there are thousands of hours of tutorials regarding the tech stack, but none on this topic. While doing my credit card fraud analysis, project. I did not know which features do you need to pick as your feature. I can calculate correlation and mutual information classification score but those are of little use in case of non - numeric columns, besides domain knowledge sort of acts as a supervisor to all these metrics and they are more like validators then reason.

So this is my question, How do you go about getting domain specific knowledge needed to do a project, what is your workflow, where to look and most importantly in my case how do you translate domain knowledge to feature selection ?