SAS Viya and R Integration for Machine Learning
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Course Code: |
Duration:1 day 8.30am to 5.30pm |
Course Fees: S$1,200 (excl of G.S.T) |
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| 2020 Course Dates 16 Sep 2020 |
| None of the published dates will work for you? Speak to our training consultants for a private tuition arrangement or a closed door training. |
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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