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Fiona Gregory<p>This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoku are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, and what you are actually solving for when you tune the hyperparameters. <a href="https://www.youtube.com/@couragekamusoko5689/videos" rel="nofollow noopener" 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" target="_blank">#<span>SVM</span></a> <a href="https://mapstodon.space/tags/KNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KNN</span></a> <a href="https://mapstodon.space/tags/DecisionTree" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DecisionTree</span></a> <a href="https://mapstodon.space/tags/RandomForest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RandomForest</span></a></p>
Dirk Van den Poel<p>My online lecture of the <a href="https://mastodon.online/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> class is on using <a href="https://mastodon.online/tags/PySpark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PySpark</span></a> for machine learning using Spark <a href="https://mastodon.online/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> (natural language processing) for <a href="https://mastodon.online/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a> and <a href="https://mastodon.online/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a>. <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.online/tags/orms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orms</span></a> <a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.online/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalytics</span></a> <a href="https://mastodon.online/tags/jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>jupyter</span></a> <a href="https://mastodon.online/tags/notebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>notebook</span></a> <a href="https://mastodon.online/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>randomforest</span></a> <a href="https://mastodon.online/tags/word2vec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>word2vec</span></a> <a href="https://mastodon.online/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a></p>
Dirk Van den Poel<p>Today’s offline + online Zoom lecture of my <a href="https://mastodon.online/tags/ACRM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ACRM</span></a> (analytical customer relationship management) class is on using <a href="https://mastodon.online/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> and <a href="https://mastodon.online/tags/Pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandas</span></a> for cross-sell modeling. Multiclass <a href="https://mastodon.online/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a>. <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.online/tags/orms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orms</span></a> <a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.online/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalytics</span></a> <a href="https://mastodon.online/tags/jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>jupyter</span></a> <a href="https://mastodon.online/tags/notebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>notebook</span></a> <a href="https://mastodon.online/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>randomforest</span></a></p>
Dirk Van den Poel<p>Today’s online Zoom lecture of my <a href="https://mastodon.online/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> class is on using <a href="https://mastodon.online/tags/PySpark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PySpark</span></a> for machine learning using Spark <a href="https://mastodon.online/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> (natural language processing) for <a href="https://mastodon.online/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a> and <a href="https://mastodon.online/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a>. <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.online/tags/orms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orms</span></a> <a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.online/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalytics</span></a> <a href="https://mastodon.online/tags/jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>jupyter</span></a> <a href="https://mastodon.online/tags/notebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>notebook</span></a> <a href="https://mastodon.online/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>randomforest</span></a> <a href="https://mastodon.online/tags/word2vec" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>word2vec</span></a></p>
Dirk Van den Poel<p>Today’s online Zoom lecture of my <a href="https://mastodon.online/tags/BigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigData</span></a> class is on using <a href="https://mastodon.online/tags/PySpark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PySpark</span></a> for machine learning using Spark <a href="https://mastodon.online/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> and <a href="https://mastodon.online/tags/dataframes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataframes</span></a> for <a href="https://mastodon.online/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a> and <a href="https://mastodon.online/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a>. <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.online/tags/orms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orms</span></a> <a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.online/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataanalytics</span></a> <a href="https://mastodon.online/tags/jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>jupyter</span></a> <a href="https://mastodon.online/tags/notebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>notebook</span></a> <a href="https://mastodon.online/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>randomforest</span></a> <a href="https://mastodon.online/tags/logisticregression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logisticregression</span></a> <a href="https://mastodon.online/tags/apachespark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>apachespark</span></a></p>
heise online (inoffiziell)heise+ | Krieg und Gewalt: Algorithmen berechnen, wo es die nächsten Ausschreitungen gibt<br><br>Konflikte richten auch Schaden an, wo nicht gekämpft wird. Deshalb wird es in Zeiten globaler Lieferketten immer wichtiger, zu wissen, wo es knallt. KI hilft. <br><a href="https://www.heise.de/hintergrund/Krieg-und-Gewalt-Algorithmen-wissen-wo-es-als-naechstes-brennt-7284901.html" rel="nofollow noopener" target="_blank">Krieg und Gewalt: Algorithmen berechnen, wo es die nächsten Ausschreitungen gibt</a><br>