Interactive Machine Learning in SAS(R) Viya(R)

Course code: VDMO01

This course provides a theoretical foundation for SAS Visual Data Mining and Machine Learning, as well as hands-on experience using the tool through the SAS Visual Analytics interface. The course uses an interactive approach to teach you visualization, model assessment, and model deployment while introducing you to a variety of machine learning techniques.

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 720 EUR


Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR


Type Course
Language Price without VAT
Upon request E-learning 14 hours en 720 EUR Register
Upon request Upon request 14 hours en 1 200 EUR Register
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Target group

Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Data Mining and Machine Learning for highly interactive, rapid model fitting in SAS Viya

Course structure

Introduction to SAS Visual Data Mining and Machine Learning

  • Overview.
  • Data exploration.
  • SAS Viya details.

Machine Learning Algorithms

  • Introduction.
  • Neural networks.
  • Support vector machines.
  • Forests.
  • Gradient boosting.
  • Bayesian networks.

Ensemble Machine Learning Algorithms

  • Ensemble models.
  • Forests.
  • Gradient boosting.

Model Assessment and Implementation

  • Model assessment.
  • Scoring.
  • Integration with Model Studio.

Factorization Machines

  • Types of recommendation systems.
  • Explaining factorization machines.


Before attending this course, you should:
  • Be acquainted with SAS Visual Statistics.
  • Have at least an introductory-level familiarity with machine learning techniques and statistical modeling.
  • Do you need advice or a tailor-made course?


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