SAS Tutorial | Gradient Boosting Explained

Gradient boosting is a useful machine learning technique that uses an ensemble of weak learners to produce high-quality predictions. In this SAS How To Tutorial, Christa Cody presents a high-level introduction to gradient boosting (i.e. no complicated math involved). Then, she builds a machine learning pipeline in SAS Model Studio containing a Gradient Boosting node and explores its options.

Download Data Files
Download the HMEQ data set that Christa uses here – https://support.sas.com/documentation...

Chapters
00:00 – Welcome
00:14 – Single model example
00:35 – Explanation of ensemble methods: bagging and boosting
05:32 – Overview of gradient boosting
07:23 – Gradient boosting in SAS

Learn more about SAS Software
◉ AI and Machine Learning Courses – https://www.sas.com/en_us/training/pr...
◉ SAS Viya Gradient Boosting Task – https://go.documentation.sas.com/?doc...
◉ How to train a forest model with Cat –    • SAS Tutorial | How to train forest models ...  
◉ Machine Learning Fundamentals with Ari –    • SAS Tutorial | Machine Learning Fundamentals  
◉ Data Mining and Machine Learning Community –
https://communities.sas.com/t5/SAS-Da...
◉ Machine Learning Using SAS Viya e-Learning –
https://learn.sas.com/course/view.php...


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