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.Lernen Sie, wie Sie / Learn how to
Zielgruppe / Who should attendR 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.
In diesem Kurs wird mit folgenden Software Modulen gearbeitet / This course addresses SAS Viya, SAS Visual Data Mining and Machine Learning Software
SAS Viya and Open Source Integration