SAS graphical user interfaces help you build machine-learning models and implement an iterative machine learning process. You don ' t have a advanced statistician. Our comprehensive selection of the machine learning algorithms can help you quickly get the value from your big data. They include:
- Neural networks.
- Decision Trees.
- Random forests.
- Associations and sequence discovery.
- Gradient boosting and bagging.
- Support Vector machines.
- Nearest-neighbor mapping.
- K-means Clustering.
- Self-organizing maps.
- Local Search optimization techniques such as genetic algorithms.
- Expectation maximization.
- Multivariate adaptive regression splines.
- Bayesian Networks.
- Kernel density estimation.
- Principal.
- Singular value decomposition.
- Gaussian mixture models.
- Sequential covering rule building.
Be free to study and study on your own.
Machine learning algorithms provided by SAS
