SAS Viya and R Integration for Machine Learning

Course Code:

Duration:1 day
8.30am to 5.30pm  
Course Fees:
S$1,200 (excl of G.S.T)
2020 Course Dates
16 Sep 2020
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Course Overview

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.

Program Objectives

• 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.

Course Outline

Module 1: SAS Viya and Open Source Integration

Module 2: Machine Learning

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