A tanfolyamról
This course provides a theoretical foundation for SAS Visual Data Mining and Machine Learning, 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 latest version of the e-learning course uses the revised title “Interactive Machine Learning in SAS Viya.”
Ismerje meg hogyan:
- 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.
- Compare models.
- Export model score code and score a model.
- Transfer analytical models from SAS Visual Analytics to Model Studio.
Kinek ajánljuk
- 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
A képzés angol nyelven folyik.
A képzés elérhető e-learning formában is, kérjen ajánlatot.
Tematika
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.
Kinek ajánljuk
Előfeltételek
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.
A tanfolyam SAS Visual Data Mining and Machine Learning szoftver használatára épül.