<p>Should questions about machine learning (ML) be asked here or at <a href="http://datascience.stackexchange.com">Data Science.SE</a>?  When Data Science was still a proposal, the <a href="https://stats.meta.stackexchange.com/questions/2026/data-science-se">discussion</a> indicated these questions should be asked here.  <a href="https://stats.meta.stackexchange.com/questions/2253/cv-and-data-science-semi-identical-twins">Later</a> <a href="https://stats.meta.stackexchange.com/questions/2254/crossvalidated-vs-datascience-what-is-different">discussions</a> indicated the two sites should be merged.</p>

<p>The <a href="https://stats.stackexchange.com/tour">tour page</a> says "Cross Validated is a question and answer site for people interested in... machine learning."  This is also a fully graduated (i.e. no longer in beta) site.  However, the <a href="https://datascience.stackexchange.com/tour">Data Science tour page</a> says "Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field." A mod there claims that CV is the right site for <em>statistics,</em> not ML questions, but that DS is for ML questions. </p>

<p>As of this posting, the ML tag has 4,128 questions <a href="https://stats.stackexchange.com/questions/tagged/machine-learning">here</a> and 498 <a href="https://datascience.stackexchange.com/questions/tagged/machine-learning">there</a>, which might suggest they fit better here.<br>
However, the opposite conclusion might be reached by noting that under "all questions" the totals are 65,571 <a href="https://stats.stackexchange.com/questions">here</a> and 1,505 <a href="https://datascience.stackexchange.com/questions">there</a> so ML questions are 6.3% of questions here and 33% of questions there.</p>

<p><strong>Where do ML questions belong?</strong></p>
