Fabrizio Musacchio<p>Apart from <a href="https://sigmoid.social/tags/Wasserstein" class="mention hashtag" rel="tag">#<span>Wasserstein</span></a> Distance (<a href="https://sigmoid.social/tags/EMD" class="mention hashtag" rel="tag">#<span>EMD</span></a>), other <a href="https://sigmoid.social/tags/metrics" class="mention hashtag" rel="tag">#<span>metrics</span></a> also play an important role in <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="tag">#<span>MachineLearning</span></a> tasks such as <a href="https://sigmoid.social/tags/clustering" class="mention hashtag" rel="tag">#<span>clustering</span></a>, <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="tag">#<span>classification</span></a>, and <a href="https://sigmoid.social/tags/InformationRetrieval" class="mention hashtag" rel="tag">#<span>InformationRetrieval</span></a>. In this tutorial, you can find a discussion of five commonly used metrics: EMD, <a href="https://sigmoid.social/tags/KullbackLeiblerDivergence" class="mention hashtag" rel="tag">#<span>KullbackLeiblerDivergence</span></a> (KL Divergence), <a href="https://sigmoid.social/tags/JensenShannonDivergence" class="mention hashtag" rel="tag">#<span>JensenShannonDivergence</span></a> (JS Divergence), <a href="https://sigmoid.social/tags/TotalVariationDistance" class="mention hashtag" rel="tag">#<span>TotalVariationDistance</span></a> (TV Distance), and <a href="https://sigmoid.social/tags/BhattacharyyaDistance" class="mention hashtag" rel="tag">#<span>BhattacharyyaDistance</span></a>. </p><p>🌎 <a href="https://www.fabriziomusacchio.com/blog/2023-07-28-probability_density_metrics/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">fabriziomusacchio.com/blog/202</span><span class="invisible">3-07-28-probability_density_metrics/</span></a></p>