Questions tagged [datascience-stackexchange]

Data Science is a website part of the Stack Exchange network featuring questions and answers on topics such as machine learning, data mining and treatment of large data.

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77 votes
11 answers
2k views

CV and Data Science: semi-identical twins?

I would like to reopen the discussion regarding CV and the Data Science beta. This question is related to this previous one: Data Science SE but now with a better view of where Data Science seems to ...
Marc Claesen's user avatar
  • 18.5k
39 votes
5 answers
2k views

Data Science SE

I noticed the ad on the main site today for the data science proposal, which evidently is 77% committed. Some of the people committed to the proposal are users on CV. Most of the questions listed ...
gung - Reinstate Monica's user avatar
15 votes
2 answers
457 views

Overlap with ai.stackexchange and datascience.stackexchange

I found that quite a few tags are present at each of these sites in the SE universe: Artificial Intelligence (AI) Data Science (DS) Cross Validated (CV) For example: reinforcement-learning (AI, DS, ...
a_guest's user avatar
  • 161
20 votes
3 answers
934 views

ML questions: here or at Data Science?

Should questions about machine learning (ML) be asked here or at Data Science.SE? When Data Science was still a proposal, the discussion indicated these questions should be asked here. Later ...
WBT's user avatar
  • 225
12 votes
2 answers
201 views

Would it make sense to add Data Science SE to the list of suggested sites for migration of a question?

I just flagged: R solution for high performance and large datasets for closing since it's quite obviously off-topic (I can't really see as instructions for setting up a Spark server from R Studio ...
DeltaIV's user avatar
  • 18k
7 votes
1 answer
230 views

Is the datascience SE harming CV's answer rate?

Following up on this question: We have a very large & widening gap between questions and answers. How do we fix it? Where one of the suggestions was: We need more answers, and therefore ...
Skander H.'s user avatar
  • 11.9k
15 votes
1 answer
353 views

How do I properly make the distinction between DataScience and CrossValidated when migrating from AI?

I'm an admin on SE:AI. We tend to get a lot of questions that are more properly SE:Data Science or SE:Cross Validated subjects. Because it's difficult to stem the tide (Stack has a lot of hackers ...
DukeZhou's user avatar
  • 101
10 votes
2 answers
261 views

Are questions about solving practical data science problems (memory etc.) on topic?

Are questions like How to resolve Error: cannot allocate vector of size 1.1 GB for glmnet in R on topic? On one hand, it asks about software, on another, this is about solving a practical data science ...
Tim's user avatar
  • 138k