doboprobodyne<p><span class="h-card" translate="no"><a href="https://hachyderm.io/@kellogh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kellogh</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@mistersql" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mistersql</span></a></span> </p><p>Because "learning" is an anthropomorphisation, and because I'm not sure it describes the way in which the source data is statistically encoded within the resulting algorithm.</p><p>Thus I would dispute the assertion that "meta-algorithm" and "machine learning" have nearly the exact same definition.</p><p><a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mathstodon.xyz/tags/language" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>language</span></a> <a href="https://mathstodon.xyz/tags/statisticalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statisticalModelling</span></a> <a href="https://mathstodon.xyz/tags/mathematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mathematics</span></a> <a href="https://mathstodon.xyz/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> <a href="https://mathstodon.xyz/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>math</span></a></p>