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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://www.youtube.com/redirect?v=8k2MbSljPes&redir_token=U4WM6Aie2pWop-34U5pRSg2zzLx8MTU3OTk4NTE1NUAxNTc5ODk4NzU1&event=video_description&q=http%3A%2F%2Fsupport.sas.com%2Fdocumentation%2Fonlinedoc%2Fviya%2Fexampledatasets%2Fhmeq.csv

Content Outline
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
SAS Viya Gradient Boosting Task – https://go.documentation.sas.com/?docsetId=webeditorref&docsetTarget=p033502qm6sfy5n0zwaddxm7ii7z.htm&docsetVersion=5.2&locale=en
Ask the Expert On-Demand Webinar: How Do I Get Started with SAS Visual Data Mining and Machine Learning? – https://www.sas.com/en_us/webinars/get-started-visual-data-mining-machine-learning.html?utm_source=youtube&utm_medium=paid-social&utm_campaign=non-cbo-us
How to train a forest model with Cat – https://www.youtube.com/watch?v=FWragzNF59U&list=PLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87
Machine Learning Fundamentals with Ari – https://www.youtube.com/watch?v=8k2MbSljPes&list=PLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87
Data Mining and Machine Learning Community –
https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/bd-p/data_mining
Machine Learning Using SAS® Viya® e-Learning –
https://support.sas.com/edu/schedules.html?id=16233&ctry=US
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS
https://www.youtube.com/SASUsers?sub_confirmation=1

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Информация о видео
11 февраля 2020 г. 0:00:01
00:14:59
Яндекс.Метрика