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.
 

Ismerje meg hogyan:

• 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.

Kinek ajánljuk

• R users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling

A képzés angol nyelven folyik.

Before taking this course, you should have experience writing R programs for data analytics. There are no SAS prerequisites.

A tanfolyam SAS Viya, SAS Visual Data Mining and Machine Learning szoftver használatára épül.