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SAS Viya and R Integration for Machine Learning

30 Hours
Online Instructor-led Training
USD 1399 (USD 2800)
Save 50% Offer ends on 30-Nov-2024
SAS Viya and R Integration for Machine Learning course and certification
318 Learners

About this Course

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.

Learn how 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.
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  • Target Audience
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  • R users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling
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SAS Viya and R Integration for Machine Learning

Course Details & Curriculum
SAS Viya and Open Source Integration
  • SAS Viya and Cloud Analytic Services (CAS).
  • Open source development interfaces.
  • Scripting Wrapper for Analytics Transfer (SWAT).
  • Fundamentals of the R and Python APIs.
Machine Learning
  • Predictive modeling.
  • Predictive models.
  • Model assessment.
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