this post was submitted on 01 Sep 2026
5 points (77.8% liked)

AskBeehaw

3038 readers
1 users here now

An open-ended community for asking and answering various questions! Permissive of asks, AMAs, and OOTLs (out-of-the-loop) alike.

In the absence of flairs, questions requesting more thought-out answers can be marked by putting [SERIOUS] in the title.


Subcommunity of Chat


This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 3 years ago
MODERATORS
 

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?

you are viewing a single comment's thread
view the rest of the comments
[–] Kissaki@beehaw.org 1 points 1 week ago

Closer to industry and physical production, there are more use cases than OCR. In data economy, statistics, and other data handling, machine learning is also a topic.

Machine learning is a wide field.

My company did a demonstration project on how AI could observe motor sensors to aid planned maintenance (recognizing and categorizing irregularities in movements).

I can't speak to concrete numbers or prevalence in different fields or job market opportunities. How much maths is involved, as I wrote, depends on the field and application.