Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio

This course covers a variety of machine learning techniques that are performed in a scalable and in-memory execution environment. The course provides hands-on experience with SAS Visual Data Mining and Machine Learning through SAS Studio, a user interface for SAS programming. The machine learning techniques include logistic regression, decision tree and ensemble of trees (forest and gradient boosting), neural networks, support vector machine, factorization machine, and Bayesian networks.

The self-study e-learning includes:

Location: Live Web
Date: 30 APR-03 MAY 2024
Time: 01:00 PM-04:30 PM EDT
Language: English
Fee: 1,600 USD

 

Frequently Asked Questions

One seat in your classroom or live web course along with 12 month access to the e-learning version (if available) to practice after class. The course includes course materials pdf and hands-on virtual labs to practice in the software. You will also have the option to accept a digital, shareable badge upon completion of the course.
Yes, if an e-Learning version of the course is available, it is included with your classroom or live web course. Your 12-month e-Learning access will start after you’ve completed the course.
Yes, hands-on labs are included to practice if available for the course.
Yes. Schedule private team training exclusively for your team either virtually or in-person, at your location or ours.