This Supervised Machine Learning Procedures Using SAS Viya in SAS Studio training course covers a variety of machine learning techniques that are performed in a scalable and in-memory execution environment. The course provides hands-on experience with SAS Visual Data Mining and Machine Learning through SAS Studio, a user interface for SAS programming. The machine learning techniques include logistic regression, decision tree and ensemble of trees (forest and gradient boosting), neural networks, support vector machine, factorization machine, and Bayesian networks.
By attending Supervised Machine Learning Procedures Using SAS Viya in SAS Studio workshop, delegates will learn to:
- Create a SAS Cloud Analytic Services (CAS) session, and prepare and explore data for machine learning
- Build linear and logistic regression models
- Build decision tree, forest, and gradient boosting models
- Build neural network models
- Build support vector machine models
- Build factorization machine models
- Evaluate and compare model results
- Score selected models
- Build a Bayesian network model
- Familiarity with basic statistics. SAS experience is helpful but not required. Coding experience is helpful but not required.
The Supervised Machine Learning Procedures Using SAS Viya in SAS Studio class is ideal for:
- Data analysts, data miners, mathematicians, statisticians, data scientists, citizen data scientists, qualitative experts, and others who want an introduction to supervised machine learning for predictive modeling.