this post was submitted on 26 Nov 2023
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Machine Learning

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I’ve tried to do my own research in determining whether or not i’d like to study ML in my CS masters program, I guess i’m not really understanding what would make this field remain relevant for the next 20 years? With ML tools becoming more accessible, will there be a need for specialized knowledge? I know what ML is currently used for, but what does it have potential to become?

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[–] Sky_Core@alien.top 1 points 9 months ago (2 children)

perhaps you should pursue a field that offers more to society like art.

[–] _gipi_@alien.top 1 points 9 months ago (1 children)

imagine writing that art is a bad thing

[–] Sky_Core@alien.top 1 points 9 months ago

ricky bobby always said if youre not first you are last... but i really dont like ricky bobby and he is really stupid

[–] TheDollarKween@alien.top 1 points 9 months ago

are u jealous of justin bieber

[–] Smartmud@alien.top 1 points 9 months ago

You should study it.

[–] PresentDelivery4277@alien.top 1 points 9 months ago

There will always be a need for specialized knowledge. Maybe take an introduction course to get an idea of whether you enjoy ML or not. You'll at least get an overview, which is always useful to have, even if you don't end up in the field. In the end the important thing is that if you end up specializing, that you enjoy it. There are plenty of other things to get into in CS if ML isn't your thing.

[–] localhost80@alien.top 1 points 9 months ago

It appears that you've done little to no research if you're asking this question. One recent interview from anyone of note in this field would have given you the answer.

what does it have potential to become?

It has the potential to replace humanity. The question isn't

what would make this field remain relevant for the next 20 years?

The question is "what will make you remain relevant for the next 20 years?"

[–] neuralbeans@alien.top 1 points 9 months ago

Are you saying that we've reach the end of progress?

[–] KingsmanVince@alien.top 1 points 9 months ago

r/learnmachinelearning

[–] mr_stargazer@alien.top 1 points 9 months ago

Ok, in one article:

https://news.mit.edu/2020/artificial-intelligence-identifies-new-antibiotic-0220

Developing effective drugs is a highly dimensional problem. Now, think of other equally difficult problems in other fields that aren't being tackled.

That's the potential.