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.

Learn how to

• 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.

Who should attend

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 on SAS Viya

Kurzy jsou dostupné jako	Délka
Prezenční kurz:	2.0 dny
Live Web:	4 půl denní školení

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.

Introduction to SAS Visual Data Mining and Machine Learning

• overview
• SAS Viya: details

Machine Learning Algorithms

• introduction
• neural networks
• support vector machines
• forests
• gradient boosting

Model Assessment and Implementation

• model assessment
• scoring

Factorization Machines

• different types of recommendation systems
• explaining factorization machines