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

[D] Where does the 'ML' part of CAUSAL ML come in? (alien.top)

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

5 comments fedilink hide all child comments

Looks like classic causal inference, the type would see in Pearl or Econometrics. I don't understand where the ML comes in.

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

[–] glitch83@alien.top 1 points 11 months ago (1 children)

Honestly I'm not sure what you are really asking. Could you define Machine Learning in the way you see it? I feel like the answer is too obvious to be the answer you're looking for.

[–] Ckdew@alien.top 1 points 11 months ago

I guess my point is, causal inference has been around for a long time whereas Causal ML just popped up a few years ago. So how is Causal ML different from Causal inference. What are the unique problem Causal ML tries to solve that Causal inference couldn't?