Machine Learning Using SAS® Viya®

This course discusses the theoretical foundation for techniques associated with supervised machine learning models. A series of demonstrations and practices is used to reinforce all the concepts and the analytical approach to solving business problems. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, by illustrating data exploration, data preprocessing, feature selection, model training and validation, model assessment, and scoring. This course is the core of the SAS Viya Data Mining and Machine Learning curriculum. It uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data.

Location: Live Web
Date: 29 APR-02 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.