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Interactive Machine Learning in SAS® Viya®
2h 59m + Hands-On Practice
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Interactive Machine Learning in SAS® Viya®
VDMO : VDMO41
This course provides a theoretical foundation for using machine learning capabilities in SAS Viya, 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.

The SAS Viya 3.5 e-learning version of this course uses the title SAS Visual Data Mining and Machine Learning in SAS Viya: Interactive Machine Learning.
Learn How To
  • Train a Bayesian network.
  • Train a forest model.
  • Train a gradient boosting model.
  • Train a neural network.
  • Train a support vector machine.
  • Train factorization machines.
  • Compare models.
  • Export model score code and score a model.
  • Transfer analytical models from SAS Visual Analytics to Model Studio.
    • Who Should Attend
    Predictive modelers, business analysts, and data scientists who want to take advantage of machine learning capabilities in SAS Viya for highly interactive, rapid model fitting
    Prerequisites
    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. You can gain this knowledge by first attending the Statistics You Need to Know for Machine Learning course.
    • SAS Products Covered
    SAS Machine Learning
    Course Outline
    Introduction to Machine Learning Capabilities in SAS Viya
  • Introductory concepts.
  • Data exploration.
  • SAS Viya; details.
    • Machine Learning Algorithms
  • Introduction.
  • Machine learning.
  • Neural networks.
  • Support vector machines.
  • Bayesian networks.
    • Ensemble Machine Learning Algorithms
  • Forests.
  • Gradient boosting.
    • Model Assessment and Implementation
  • Model assessment.
  • Scoring.
  • Integration with Model Studio.
    • Factorization Machines
  • Types of recommendation systems.
  • Explaining factorization machines.
    • Live Class Schedule
    Duration: 14 hours
    Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
    Live Class Schedule SOLD SEPARATELY
    DATES ▼ LOCATION ▲
    ▼         		TIME ▲
    ▼         		LANGUAGE EVENT FEE
    04-07 NOV 2025 Live Web, US 9:30 AM-1:30 PM EST Spanish 2,000 USD
    09-12 DEC 2025 Live Web, US 1:00 PM-4:30 PM EST English 2,000 USD
    Private Training
    Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
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    Mentoring Services
    Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.
    Request mentoring