I’m currently a mechanical engineering student, and I’m looking into machine learning as a side skill. I am good in python programming at least relating to data science (Made a LMS as CSV files as its database . As a mechanical engineer I believe I will be facing many prediction problems, especially regression related. e.g. working on prediction of pollutant concentrations values. I have a few questions. First should I learn the mathematics/ concepts behind machine learning like everything or not? I am fairly good at grasping concepts, especially math related. My style is brute like I only learn that’s going to help me get the job done. Should I limit myself to only regression related learning or not? Lastly Should I limit to only ML with scikit or learn things like TensorFlow and such as well?
I want your opinion. Second, if possible, recommend me some good courses/ road map as well. Some books as well.
Any kind of help is much appreciated.