<p>What should we do with "how to learn statistics/machine learning" questions?</p>

<p>For instance:</p>

<ul>
<li><a href="https://stats.stackexchange.com/q/6538/1352">Mathematician wants the equivalent knowledge to a quality stats degree</a> is pretty highly upvoted, community wiki and carries the "reference" tag.</li>
<li><a href="https://stats.stackexchange.com/q/315046/1352">Want to start with “Machine learning” and/or “Data Analysis”</a> is new and currently voted -1. (I originally voted to close but retracted to ask here.)</li>
</ul>

<p>What should we do with such questions? Close as off-topic? Add the "references" tag? Would the "self-study" tag be appropriate (I wouldn't think so)?</p>

<p>Just for reference: <a href="https://academia.stackexchange.com/help/on-topic">Suggestions or recommendations for a university, journal, or research topic (a "shopping question") are explicitly off-topic at Academia.SE</a>. Which I originally noted in <a href="https://stats.meta.stackexchange.com/q/5028/1352">“Where to publish” questions: on-topic?</a>, which appears to be somewhat related and where the consensus is that "where to publish" questions are off-topic. Does that mean that "what to learn" is off-topic as well?</p>

<p>I'll link here from <a href="https://stats.meta.stackexchange.com/q/1577/1352">What is on topic on Cross Validated?</a></p>
