In SAS Viya and R Integration for Machine Learning training 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.
By attending SAS Viya and R Integration for Machine Learning workshop, delegates will learn to:
- Use the R API in SAS Viya
- Submit CAS actions from R
- Manage, alter, and prepare data on the CAS server
- Implement and compare machine learning models on the CAS server
- Move data between the client and server
- Use R syntax to wrap up CAS actions with functions and loops
- Promote data to persist in memory
- Experience writing R programs for data analytics. There are no SAS prerequisites.
The SAS Viya and R Integration for Machine Learning class is ideal for:
- R users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling.