{"id":13812,"date":"2025-04-07T11:02:46","date_gmt":"2025-04-07T15:02:46","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13812"},"modified":"2025-04-07T11:02:46","modified_gmt":"2025-04-07T15:02:46","slug":"xgboost-is-all-you-need-part-3-gradient-boosted-trees","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/xgboost-is-all-you-need-part-3-gradient-boosted-trees\/13812\/","title":{"rendered":"XGBoost is All You Need, Part 3 &#8211; Gradient Boosted Trees"},"content":{"rendered":"Originally published on\u00a0XGBlog, January 30, 2025. This is the third part in the series of blog posts about XGBoost, based on my 2024 GTC presentation you can find Part 1 here, and Part 2 here. Today we want to talk about gradient boosted trees. Even though XGBoost has an option for purely linear boosting, it\u2019s the non-linear version &#8211; based on the decision tree algorithms &#8211; that gives this library and algorithm its predictive power. Decision trees are perhaps the simplest predictive algorithm to describe. Say you want to know if it\u2019s raining outside. The only \u201cfeature\u201d that <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/xgboost-is-all-you-need-part-3-gradient-boosted-trees\/13812\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published on\u00a0XGBlog, January 30, 2025. This is the third part in the series of blog posts about XGBoost, based on my 2024 GTC presentation you can find Part 1 here, and Part 2 here. Today we want to talk about gradient boosted trees. Even though XGBoost has an option for purely linear boosting, it\u2019s [&hellip;]<\/p>\n","protected":false},"author":13468,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-13812","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13812","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/13468"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13812"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13812\/revisions"}],"predecessor-version":[{"id":13813,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13812\/revisions\/13813"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}