SAS Tutorial | Training Machine Learning Models Quickly and Interactively

In this SAS tutorial, Andy Ravenna introduces you to a rapid, interactive way to prototype and train machine learning models and then begin to interpret the output. See both forests and neural network models in the easy-to-use SAS Visual Analytics interface on SAS Viya. Access the exercises in our Virtual Learning Environment link below. You’ll be prompted to log into your SAS profile or create one. Content Outline 00:00 – Welcome 01:28 – Broad overview of Visual Data Mining and Machine Learning 06:37 – Dive deeper: building models using Neural Networks 16:04 – Watch Andy build a neural network model in SAS Viya 32:12 – How to build a Forest Model in Visual Data Mining and Machine Learning overview 41:19 – Andy dives into the software to build a forest Learn more about SAS Software SAS Visual Analytics path – https://support.sas.com/training/us/paths/va.html SAS Visual Data Mining and Machine Learning in SAS Viya: Interactive Machine Learning course – https://support.sas.com/edu/schedules.html?id=17772&ctry=US SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF https://www.youtube.com/SASUsers?sub_confirmation=1 ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com?utm_source=youtube.com&utm_medium=referral&utm_campaign=sgf-4406690 SAS Analytics Explorers ► https://explorers.sas.com/en/home.html?utm_source=youtube.com&utm_medium=referral&utm_campaign=sgf-4406690 Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► https://www.linkedin.com/company/sas Blogs ► https://blogs.sas.com RSS ►https://www.sas.com/rss