SAS® Viya® and R Integration for Machine Learning
In this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar R functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native R syntax to compare models.Aprenda como
Quem poderá participarR users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling
Before taking this course, you should have experience writing R programs for data analytics. There are no SAS prerequisites.
Este curso aborda SAS Viya, SAS Visual Data Mining and Machine Learning software.
SAS Viya and Open Source Integration
|Datas||Locais||Hora||Linguagem||Valor||Adicionar ao carrinho|
|16 JUN 2020||Live Web||10:00 AM-06:00 PM -03||English||1,648 BRL|
|16 JUN 2020 Connected Class||* Cary, NC (World Headquarters)||09:00 AM-05:00 PM EDT||English||800 USD|
|23 SET 2020||Live Web||01:00 PM-09:00 PM -03||English||1,648 BRL|
|23 SEP 2020 Connected Class||San Francisco, CA||09:00 AM-05:00 PM PDT||English||800 USD|
|04 DEC 2020 Connected Class||Arlington, VA (DC area)||09:00 AM-05:00 PM EST||English||800 USD|
|04 DEZ 2020||Live Web||12:00 PM-08:00 PM -02||English||1,648 BRL|