this post was submitted on 01 Sep 2026
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I know very little so please don't mind a lot of stupid questions. bee emoji

I want to do my masters in AI/ML but afraid that it will be difficult for me to understand. I am not a bright student and struggle with understanding maths a lot. how much maths does an average AI/ML person do in their job? what things I should keep in mind while learning AI/ML?

does whole AI/ML landscape has been taken over by LLMs? I have seen a lot of people complaining about CEOs shoving LLM every where instead of just a simple ML model.

what does AI/ML people do exactly? I mean what are their roles? does the most important task for an AI/ML person is to decide which model to use or is it preparing the data or understanding the requirements?

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[–] KRAW@linux.community 1 points 13 hours ago* (last edited 10 hours ago) (1 children)

I would not enter AI/ML for one simple reason: it is oversaturated. Everyone and their brother is in tgis field, and even those outside of it still study it and us it. Unfortunately the way to stand out within AI/ML field is to have a very good mathematics/statistics foundation and really understand the theory behind it. You would be better served by getting skills in another field that AI/ML relies on or where AI/ML can be applier.

BTW, you should also state what you plan on doing with your degree. There is no point in getting a degree if there isn't a concrete benefit to doing so.

[–] heisenberg@beehaw.org 1 points 12 hours ago (1 children)

You would be better served by getting skills in another field that AI/ML relies on or where AI/ML can be applier

you mean something like python or SQL ? yes I want to master these tools but it takes a lot of time to do so.

main reason for having this degree is to get a decent job. besides it would be great if I can get into research area and teaching, I like doing that too

[–] KRAW@linux.community 1 points 10 hours ago* (last edited 9 hours ago)

I don't mean python and SQL. Anyone with a decent software background can pick that stuff up. As an example, my background is in high performance computing, networking, systems, and FPGAs. All of these are fields (well, maybe not FPGAs) that ML/AI rely heavily on, but if AI/ML disappeared tomorrow they'd still be incredibly relevant. Another approach is to study a domain science and apply AI/ML. For example, high energy physics leverages AI/ML, at least in research.

TBH, "wanting a good job" is a very generic response that needs more context. Are you moving from somewhere other than software? If you already have a software background, you might be better of self-teaching. If you are actually interested in research/teaching, that needs to be thought through very thoroughly. I say this as someone who just finished their PhD in CS, just to give context as to why I am being particularly intense on this point.