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#decisiontree

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Fiona Gregory<p>This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. <a href="https://www.youtube.com/@couragekamusoko5689/videos" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/@couragekamusoko56</span><span class="invisible">89/videos</span></a><br><a href="https://mapstodon.space/tags/SVM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SVM</span></a> <a href="https://mapstodon.space/tags/KNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KNN</span></a> <a href="https://mapstodon.space/tags/DecisionTree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DecisionTree</span></a> <a href="https://mapstodon.space/tags/RandomForest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RandomForest</span></a></p>
AI6YR Ben<p>Chess decision tree (source unknown).</p><p>Unsurprising as you likely only have those planning-ahead skills in contractors (ie, not in the cheapest-vendor-the-insurance-company-has-approved)<br><a href="https://m.ai6yr.org/tags/decisiontree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisiontree</span></a></p>
Ladies of Landsat<p>A detailed report on the methodologies in this paper on the <a href="https://mapstodon.space/tags/decisiontree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisiontree</span></a> classifiers for mapping <a href="https://mapstodon.space/tags/forestcover" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forestcover</span></a> &amp; change was also published by Trix Estomata in 2018: <a href="https://bit.ly/Estomata_2018" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/Estomata_2018</span><span class="invisible"></span></a></p>
Ladies of Landsat<p>Mari Trix Estomata &amp; Klaus Schmitt (2019) used <a href="https://mapstodon.space/tags/decisiontree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisiontree</span></a> classification &amp; unbiased area estimation to map <a href="https://mapstodon.space/tags/forestcover" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forestcover</span></a> extent &amp; change in the <a href="https://mapstodon.space/tags/Philippines" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Philippines</span></a> using <a href="https://mapstodon.space/tags/ALOS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ALOS</span></a> <a href="https://mapstodon.space/tags/PALSAR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PALSAR</span></a> mosaic data in support of <a href="https://mapstodon.space/tags/REDD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>REDD</span></a>+ initiatives. <a href="https://mapstodon.space/tags/LoLManuscriptMonday" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LoLManuscriptMonday</span></a> <a href="http://bit.ly/Estomata_2019" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">http://</span><span class="">bit.ly/Estomata_2019</span><span class="invisible"></span></a></p><p>Cheers to Estomata &amp; Schmitt’s affiliation &amp; supporting organizations for this <a href="https://mapstodon.space/tags/LoLManuscriptMonday" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LoLManuscriptMonday</span></a> feature: GIZ Philippines, the K&amp;C Initiative of JAXA &amp; the Forest Management Bureau of DENR Philippines <a href="https://mapstodon.space/tags/EOChat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EOChat</span></a> <a href="https://mapstodon.space/tags/GISChat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GISChat</span></a> 🛰️🌳🥳</p>
Nassim Nicholas Taleb<p>Indeed, Lognormal!<br><a href="https://fooledbyrandomness.com/blog/index.php/2022/10/16/this-overhyped-zone-2-training-must-not-be-discrete/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fooledbyrandomness.com/blog/in</span><span class="invisible">dex.php/2022/10/16/this-overhyped-zone-2-training-must-not-be-discrete/</span></a> <br>---<br>RT @Alan_Couzens<br>And a <a href="https://forall.social/tags/DecisionTree" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DecisionTree</span></a> applied to the same dataset. </p><p>*On a group level* (recreational-&gt;elite triathletes)..</p><p>If you want to stay to the right of the tree &amp; have a VO2max &gt; 60ml/kg/min. Your best "decisions":</p><p>* Train 22hrs/wk<br>* With &gt;5hrs Z1<br>* With ~1hr/wk Z4<br>* With ~20min/wk Z5* https://t…<br><a href="https://twitter.com/Alan_Couzens/status/1638538637158776834" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">twitter.com/Alan_Couzens/statu</span><span class="invisible">s/1638538637158776834</span></a></p>
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