E-Learning
Register for Machine Learning Using SAS® Viya® to get in-depth instruction and free access to SAS software for interactive exercises – all for one low price.
Learn the theoretical foundation for different techniques associated with supervised machine learning models. You'll develop a series of supervised learning models including decision tree, ensemble of trees (forest and gradient boosting), neural networks and support vector machines. Demonstrations and exercises will reinforce all the concepts and the analytical approach to solving business problems. A business case study will guide you through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment.
You will have access to Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare and deploy advanced analytics models. You'll learn to train supervised machine learning models to make better decisions about big data.
Before attending this course, you should have an introductory-level familiarity with basic statistics. Previous SAS software experience is helpful but not required.
Introduction
- Machine learning in business decision making.
- Essentials of supervised prediction.
- Introduction to SAS Viya.
Decision Trees & Ensembles of Trees
- Introduction.
- Tree-structure models.
- Recursive partitioning.
- Pruning.
- Ensemble of trees.
Support Vector Machines & Additional Topics
- Large-margin linear classifier.
- Methods of solution.
- Nonlinear classifier: Kernel Trick.
- Selecting your algorithm.
- Additional tools.
Data Preparation
- Data exploration.
- Feature extraction.
- Input transformations.
- Feature selection.
- Variable clustering (self-study).
- Best practices.
Neural Networks
- Introduction.
- Network architecture.
- Learning.
Model Assessment & Deployment
- Model assessment and comparison.
- Model deployment.
This course can help prepare you for the following certification:
SAS® Certified Specialist: Machine Learning Using SAS® Viya® 3.4
This certification is for data scientists who create supervised machine learning models using pipelines in SAS Viya. You should be familiar with SAS Visual Data Mining and Machine Learning software and be skilled in tasks such as:
- Preparing data and feature engineering.
- Creating supervised machine learning models.
- Assessing model performance.
- Deploying models into production.
Want more AI and machine learning?
Want more AI and machine learning?
Earn three specialist-level certifications and automatically get a professional-level credential in artificial intelligence and machine learning with the SAS Certified Professional: AI & Machine Learning program.
Want to learn more about the exam?
Want to learn more about the exam?
Our machine learning course prepares you to take the SAS Viya 3.4 Supervised Machine Learning Pipelines exam. You'll learn what types of questions to expect, the logistics of how the exam is administered, pricing details and more.
