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.
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
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.
SAS Products Covered
SAS Visual Analytics;SAS Visual Data Mining and Machine Learning
Introduction to Machine Learning Capabilities in SAS Viya