Happy Friday! I have a few years of SWE experience but no profressional ML experience. edit: I know a good amount of theory but what can I do that would make me stand out on a resume and during interview when most job posting says 2 years of ML professional experience.
Start doing ML infra work on a team that does some modeling, ask them to get more involved in modeling eventually.
I’m also interested in any recommendations anyone has for quality learning material for someone without any formal ML background/education. It seems I’ll need mastery of at least: - ML Theory. Everything from CNN to RNN etc (though I’m not too interested in NLP/NLU currently) - Big Data pipelines ...and possibly a little refresher in Linear Algebra for anything beyond dot products / matrix multiplication I think if I had a solid foundation, “break-in” can be achieved via internal transfer, but unlikely with a huge base knowledge gap
I can mentor if anyone is willing to help me with LC and system design. I have background and experience in ML and stats.
Msged
My goal is to read ML papers and reproduce the results with code. Do you guys think this is good approach?
I am in the same boat, I am thinking of taking a course on Coursera.