Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 1 year ago

MODERATORS

communick@academy.garden

I’m having a hard time understanding the potential of Machine Learning [D] (alien.top)

submitted 11 months ago by LegitGamesTM@alien.top to c/machinelearning@academy.garden

10 comments fedilink hide all child comments

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?

you are viewing a single comment's thread
view the rest of the comments

[–] localhost80@alien.top 1 points 11 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?"