I am a non-cs graduate and would love to be a machine learning engineer.
I have learned to code, and know the basics of Machine learning. Now I would like to know what "basics of CS" I should learn to be completely job ready.
I sometimes have difficulties reading CS documentations, and don't know how programs and computers work in the background. I am also naiver on topics like memory management, operating systems, networking, electronics stuff like microprocessor, compiler design etc. Are these all necessary for my transition to AI? If they are, would you please recommend me a short learning path or books or videos. I hope I wouldn't need to go deep in these areas.