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It's been a while we are asking/answering on private beta, but there were no enough activity. What should we do next? When the next private beta (if there is a next) will open?

Machine Learning is an important and useful topic, I hope it comes back to life very soon.

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If you are interested in re-booting the site, you'll have to start from scratch, with a brand new Area51 proposal. If the proposal gathers enough support, the site will enter private beta, same as with the first time.

However, since the first proposal failed, I think your time would be better spent in exploring how machine learning questions fit in existing sites. Depending on the specific nature of your questions, you have at least three options:

I realize this isn't the same as having a dedicated site, but if you are not interested in going through the whole Area51 process again, then this is as good as it gets. You might also be interested in creating a machine learning chat room (name suggestion: Skynet) and use it as the central hub for your community.

  • What will happen to all questions and answers in private beta site? If the new private beta starts, won't those data be back? – Moh Jul 15 '13 at 12:20
  • Isn't it better to have the old content back? Some of them are worthy. – Moh Jul 15 '13 at 12:26
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    To those sites, we can add computational science (37 machine-learning questions) and Cross Validated (1281 machine-learning questions). Maybe fragmentation is a problem? – gerrit Jul 15 '13 at 12:35
  • The first proposal failed, but it wasn't this one. There was at least one general AI and at least one other ML site to fail private beta before this one. – Kevin Jul 15 '13 at 14:33
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Machine learning is already alive! It's alive on Cross Validated and on Computer Science (plus Stack Overflow if you're programming).

Cross Validated has welcome machine learning questions from its inception. I don't see any evidence that CV is not a good home for machine learning questions. To my uninformed eyes, CV does have machine learning expertise. Sure, it isn't called “machine learning”, but this is not a problem. Experts on Java participate on Stack Overflow even though the site has a majority of non-Java content. Experts on differential topology participate on Mathematics even though the site has a majority of non-differential-topology content. Similarly, experts on machine learning can participate on Cross Validated even though the site isn't solely about ML. It's easy to focus on one tag if you don't care about non-ML topics.

This is the second time a machine learning proposal fails due to a lack of traffic. The first time over, the content was merged into Cross Validated. This time over, there were even fewer questions in the private beta. MLare is just too narrow a topic to accommodate a separate site, especially when there's already a thriving site. During the second ML private beta, about 46 ML questions were posted on Cross Validated, plus a few more on CS.

You can propose a new machine learning site on Area 51. It won't be automatically restarted: you have to work for it. But there's no point in investing any energy into that if you aren't going to do something different. It failed twice, so what makes you think the third time is going to succeed? And what's the point anyway — how would the site make the Internet a better place? You need to answer these questions first. If you have an answer to both, then propose away.

  • I agree with you, thanks for the detailed explanation on this case. I may be participating in CS or CV sites for ML purposes. :-). – Moh Jul 15 '13 at 14:49

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