SAS(R) Visual Data Mining and Machine Learning in SAS(R) Viya(R): Interactive Machine Learning
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. The latest version of the e-learning course uses the revised title “Interactive Machine Learning in SAS Viya.”
Virtual Training nebo e-Learning?
Máme dostatečnou flexibilitu, takže vybírat můžete jak prezenční termíny, tak online kurzy.
Zkuste živý kurz virtuálněTarget 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.
Model Assessment and Implementation
- Model assessment.
- Scoring.
- Integration with Model Studio.
Factorization Machines
- Different types of recommendation systems.
- Explaining factorization machines.
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.
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Jsme vám k dispozici na telefonním čísle +420 222 553 101 vždy od pondělí do pátku: 9:00 - 17:00.
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