I am one of the people without any background or qualifications in science, maths or programming (I have a bachelor degree in translation and master degree in management). So recently, I got hooked into the data analytics and data science and I did a few online courses including Datacamp and Udemy courses but still feel not comfortable with data science and machine learning and I am working on projects. I did also the Machine Learning of fastAI, too, and I really enjoy it!
So given the background for the root of my question and building on the hypothesis of securing an interview or even an entry job, I would like to know how to cope with the people/experts/employers in the field who do not know fastAI. I guess if you bring a solution by fastAI libraries, they will be excited but I also read on the internet that some people prefer that a beginner should use standard libraries in python and that they will even not pay attention to you or your code if it is not in standard python libraries.
I know that fastAI delivers faster results and automates things. I heard some people who actually graduated that they will be promoters or even advocates of fastAI. Taking into account that I am a beginner and emphasizing the difficulty of entering the field for people like me, how to proceed with fastAI?
Should I use fastAI as a fast way of getting results and then, redoing the whole thing in standard python?
I would like to hear the experience of the people in this matter…