Target 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.
