>>13559071>All those meme degrees in muh AI, ML etc are all scam, it is a research field and research can't be taught by doing a coursework degreeThey're a meme because they're a narrow focus for something that should be a generalist qualification. But you can easily benefit from having less than a degree's worth of coursework in ML in your CS, math, or physics degree. Many have done it. It's literally *how* you get into it in the first place - you take a principles of AI class (which covers combinatorial optimization and metaheuristics like genetic algos alongside the basics of networks) to an ML class to then branching out to whatever part of AI/ML you care about with a combination of coursework, paper review, building code, etc..
>For doing research in these fields you need to have at least 10 years of experience as a computer Engineer/Software engineer etcWhat the fuck are you on about?
>All the top researchers and professors etc in top R&D institutions be it corporate, university funded or Govt funded are all veteran engineers who worked in industry.No they aren't. The easiest counterexample is Google's Christian Szegedy, who is one of the biggest deep learning researchers. He's largely academic but has had ridiculous impact on both the research and engineering sphere. No 10 years of muh industry experience.
>You can't become an Engineer by completing coursework, but by solving problems. Yes, but part of being a good engineer is to learn how to solve problems through focused coursework.
>Only then you will be valuable enough to be employed and will learn enough to be able to do actual researchI think you missed the part where research is really heavy on learning research level stuff by...taking seminars and coursework at that level. Yes, you have to jump in and do research, but that involves *studying* and giving yourself problems from existing material like notes, and yes, standard reference textbooks.
None of the advice you gave is sound.
