{"id":481,"date":"2023-06-12T14:01:44","date_gmt":"2023-06-12T14:01:44","guid":{"rendered":"https:\/\/webresources-uat.com\/acrp0361\/?post_type=glossary&#038;p=481"},"modified":"2023-06-12T14:01:44","modified_gmt":"2023-06-12T14:01:44","slug":"machine-learning-ml","status":"publish","type":"glossary","link":"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/machine-learning-ml\/","title":{"rendered":"Machine Learning (ML)"},"content":{"rendered":"<p><span class=\"TextRun SCXW86997922 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW86997922 BCX0\">Advanced computational algorithms based on mathematical or statistical models, used for both <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Supervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;A machine learning approach where a computational model is trained on human-labeled data to make predictions about a target variable that can be categorical (for classification tasks) or continuous (for regression tasks). The model is evaluated using performance metrics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/supervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>supervised learning<\/a> tasks (e.g., classification, regression) and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Unsupervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;Computational approach &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;used to discover natural groupings or categories among observations in un&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;labeled data&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt; by association (i.e., clustering).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/unsupervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>unsupervised learning<\/a> tasks (e.g., clustering, dimension reduction). ML models are trained on a subset of data (training set) and then model performance is tested on previously unseen data (test set).&nbsp;<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advanced computational algorithms based on mathematical or statistical models, used for both <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Supervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;A machine learning approach where a computational model is trained on human-labeled data to make predictions about a target variable that can be categorical (for classification tasks) or continuous (for regression tasks). The model is evaluated using performance metrics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/supervised-learning\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">supervised learning<\/a> tasks (e.g., classification, regression) and <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Unsupervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;Computational approach &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;used to discover natural groupings or categories among observations in un&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;labeled data&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt; by association (i.e., clustering).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/unsupervised-learning\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">unsupervised learning<\/a> tasks (e.g., clustering, dimension reduction). ML models are trained on a subset of data (training set) and then model performance is tested on previously unseen data (test set).&nbsp;<\/p>\n","protected":false},"author":111,"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"glossary-categories":[],"glossary-tags":[],"class_list":["post-481","glossary","type-glossary","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/glossary\/481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/types\/glossary"}],"author":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/users\/111"}],"version-history":[{"count":0,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/glossary\/481\/revisions"}],"wp:attachment":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/media?parent=481"}],"wp:term":[{"taxonomy":"glossary-categories","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/glossary-categories?post=481"},{"taxonomy":"glossary-tags","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/glossary-tags?post=481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}