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Arjan Boltjes<p>While going over the methods, I noticed they used <a href="https://mastodon.social/tags/NMF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NMF</span></a> where <a href="https://mastodon.social/tags/PCA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PCA</span></a> is mostly used. And while refreshing ;) my knowledge of the differences between the two, I stumbled upon a simple question/answer on <a href="https://mastodon.social/tags/CrossValidated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CrossValidated</span></a>: <a href="https://stats.stackexchange.com/questions/502072/what-is-the-main-difference-between-pca-and-nmf-and-why-to-choose-one-rather-tha" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">stats.stackexchange.com/questi</span><span class="invisible">ons/502072/what-is-the-main-difference-between-pca-and-nmf-and-why-to-choose-one-rather-tha</span></a></p><p>This links to a book from <a href="https://mastodon.social/tags/TrevorHastie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TrevorHastie</span></a>, offered for free on his website: <a href="https://hastie.su.domains/publications.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hastie.su.domains/publications</span><span class="invisible">.html</span></a></p><p>Another reason to finally have a look at "An Introduction to <a href="https://mastodon.social/tags/Statistical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Statistical</span></a> Learning with Applications in R (second edition)" by James, Witten, et al. </p><p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a></p>
David Baranger<p>The enshitification of yet another beloved website - what will we do when we can't trust whether Stack Overflow or Cross Validated posts are real or AI nonsense? <a href="https://meta.stackexchange.com/questions/389811/moderation-strike-stack-overflow-inc-cannot-consistently-ignore-mistreat-an" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">meta.stackexchange.com/questio</span><span class="invisible">ns/389811/moderation-strike-stack-overflow-inc-cannot-consistently-ignore-mistreat-an</span></a></p><p><a href="https://fediscience.org/tags/enshitification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>enshitification</span></a> <a href="https://fediscience.org/tags/stackoverflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stackoverflow</span></a> <a href="https://fediscience.org/tags/crossvalidated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>crossvalidated</span></a> <span class="h-card"><a href="https://mamot.fr/@pluralistic" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>pluralistic</span></a></span></p>
pengzell.bsky.social<p>Question for the <a href="https://sciences.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> minded folks. </p><p>Has someone made a random tree algorithm that partitions *ordered lists* into sets with a similar ordering? </p><p>Posted on <a href="https://sciences.social/tags/crossvalidated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>crossvalidated</span></a> here: <a href="https://stats.stackexchange.com/questions/601816/random-tree-partition-of-ordered-lists" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">stats.stackexchange.com/questi</span><span class="invisible">ons/601816/random-tree-partition-of-ordered-lists</span></a></p><p>Preemptive apologies for garbled terminology &amp; notation.</p>