Supervised Machine Learning Procedures Using SAS(R) Viya(R) in SAS(R) Studio
Course code: DMML35
This 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.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.