73 votes

CV and Data Science: semi-identical twins?

My question: is having two small, heavily intertwined sites better than one large one related to 'data analysis' in all its forms? For what it's worth, my answer is 'no'. If anything, I think Data ...
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  • 4,011
30 votes
Accepted

Are very elementary questions off topic on CrossValidated?

To my mind, elementary is too slippery a criterion for closing. I don't doubt there are many questions that are elementary for @MichaelChernick that would be over my head, and I don't necessarily ...
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29 votes

CV and Data Science: semi-identical twins?

Many of the good questions on DS.SE would be well-suited for CrossValidated. The rest are either a) suited just fine for either StackOverflow or SciComp, or b) just plain bad questions anyway. Fact (...
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  • 11.5k
29 votes

Should questions about comparing the output from different statistical software be on topic here?

I would lean towards allowing such questions. For example, I answered such a question here: Difference in output between SAS's proc genmod and R's glm. My general position is that whether a question ...
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28 votes

Policy on questions that read like, "How should I do my job?"

A question should be judged based on whether it is a good statistics problem. Statistics are used in business, in academic research, in politics, in volunteer activities, and by some really weird ...
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28 votes

Dealing with "do my professional work for me" questions?

I downvoted your question because the part about job-related questions doesn't make sense, and it's unrelated to the site policy: this is a Statistics Q&A - nowhere in the list of questions one ...
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  • 16k
27 votes
Accepted

Overlap with ai.stackexchange and datascience.stackexchange

TL;DR Machine learning, deep learning and reinforcement learning are all on-topic here, but we ask that questions not be primarily concerned with programming. Preamble I'm not active on DSCI.SE or ...
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  • 79.4k
26 votes

"Help I have some data and need to analyse it what do I dooo?"

I'm sorry, but I don't think this is a useful approach. The questions you are referring to are essentially "please teach me data science". There are just far too many possible flavors. If you set up ...
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25 votes
Accepted

Data Science SE

Someone raised this issue in Area 51, Overlap with existing sites, with only a little discussion. I would think Cross Validated would be suitable for most Data Science topics, but apparently there is ...
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  • 8,728
25 votes
Accepted

Does advanced probability theory belong on stats or math stackexchange?

At what point is a question concerning probability abstract enough that it is more appropriate on the math stackexchange instead of crossvalidated? I don't think there's necessarily a point at which ...
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  • 261k
24 votes
Accepted

Would Cross Validated want Machine Learning Theory questions that are no longer on-topic for Stack Overflow?

They should be migrated here! Already two comments prefer option 1) so that looks a good one.
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23 votes

Should a "Neural Network" Stackexchange site be created?

Besides the questions on our site, there's already Computer science, Artificial Intelligence and Data Science (all of which have questions on neural networks - and that's not even counting the neural ...
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  • 261k
23 votes

Is "data-preprocessing" on topic for CV?

It is on-topic. Because every comment so far could be an interesting answer to this question I am pasting them here: Nick Cox: The tag or term data-preprocessing isn't universal across statistical ...
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  • 3,070
22 votes
Accepted

Where to learn about R packages?

The answer is, of course, "it depends", but I think you're asking about something different from what you think you're asking about. I believe we can all agree that a question like Is there an R ...
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  • 11.5k
21 votes
Accepted

Is it okay to ask question about a specific paper / model?

I don't see any necessary problem with asking a question like that. Here are some things to be sure you do: Provide a complete and correct citation for the paper. Provide a link to the paper. ...
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21 votes

Stack Exchange site to ask questions about computer vision?

Questions about the machine learning algorithms (as long as they're actually about the algorithms and not about specific implementations) are clearly on topic here. In this case the fact that the data ...
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  • 22.3k
20 votes

Are very elementary questions off topic on CrossValidated?

Elementary questions are on topic, and in no way form a basis for closure. It doesn't matter how elementary a question might seem, as long as it fulfills our other criteria for being on topic. ...
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  • 261k
19 votes

Migrating software syntax to StackOverflow or DataScience?

I view data cleaning as on-topic here: it is a fundamental, if somewhat unglamorous (and underappreciated) aspect of data analysis. But, in keeping with this site's approach and philosophy, we would ...
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  • 290k
19 votes

CV and Data Science: semi-identical twins?

I agree with @ssdecontrol. I am generally skeptical of "data science" as the big new thing. I do see that there is a place for the discussion / development of some new issues that have arisen in the ...
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19 votes

"Help I have some data and need to analyse it what do I dooo?"

The endless variations on "How do I analyze these data?" are not answerable questions. Full stop. When I first started my career, I worked as a consultant specializing in data science. I didn't know ...
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  • 79.4k
18 votes
Accepted

What to do about "wrong" questions?

As a beginning user, I would like to give my opinion on this and why I strongly favour (3) if it is possible to write such an answer clearly. An example where I learned a lot from reading a "wrong" ...
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17 votes
Accepted

For "obtaining specific datasets" questions, let's recommend OpenData.stackexchange.com

I think that's a good idea. Perhaps we can go one better and migrate their questions to OpenData.SE.
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17 votes
Accepted

Are questions on statistical language valid and do we need statistical-language tag?

Technical statistical usage sometimes departs from colloquial English usage. (Examples abound, such as the transitive use of "to learn" in the ML community and the use of singular nouns among ...
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  • 290k
17 votes
Accepted

Are questions on how to simulate data on-topic?

Yes. Questions on how to simulate data should be on-topic.
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17 votes

Should the mailing list on structural equation modeling (SEMNET) consider moving to CV?

SEMNET should just consider posting questions on stats.stackexchange.com, tag them sem or latent-variable or whatever, and their experts should register and answer these questions.
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  • 29.3k
17 votes

If OP asks for a software referral, and a referral *doesn't* exist, may we answer with the code they asked for?

If code is the full answer to a question, then the question is off-topic. When the code illustrates or implements a statistical answer, such as a procedure or algorithm offered in response to a ...
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  • 290k
17 votes
Accepted

Question about math notation closed as off-topic

Questions about notation have been traditionally considered within our scope, provided the notation is ultimately about statistics / machine learning. In addition, the question of why the exponential ...
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16 votes

Which site is the best to ask about reinforcement learning?

Reinforcement learning is on-topic here, and I hope our ML side grows as much as possible, so I hope you will ask it here. However, you should consider the nature of the RL topic about which you want ...
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16 votes
Accepted

Are mathematical optimisation questions on topic?

Optimization per se isn't part of our site's interests. Like Calculus, Linear Algebra, Computer Science, and other disciplines, it is a tool we use, respect, and enjoy, but is not otherwise of ...
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  • 290k
16 votes
Accepted

Shall we add "this is just a software question" to our default close reasons?

I like the idea, and I like the current phrasing. I think we'll end up with a system that operates more smoothly with this as a default option. I think having to type a custom comment is sometimes ...
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