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Understanding Black-Box Models with Partial Dependence and Individual Conditional Expectation Plots

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Presenter: Ray Wright Understanding Black-Box Models with Partial Dependence and Individual Conditional Expectation Plots Event Description: Ray Wright demonstrates methods for understanding the rationale behind the predictions that your complex machine learning models are providing. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
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Text Comments (2)
jmspls7 (14 days ago)
Terrific video! Thank you!
SAS Software (14 days ago)
Thanks for sharing! We're glad you enjoyed the content!