Advanced Machine Learning Using SAS® Viya®
This course teaches you how to optimize the performance of predictive models beyond the basics by implementing various data munging and wrangling techniques. The course continues the process of building supervised learning models that begins in the Machine Learning Using SAS Viya course and extends it to ensemble modeling after assessing the classifier performance. In this course, you learn how to do feature engineering, cluster variables (as well as cluster observations), preprocess nominal variables, detect anomalies, and perform semi-supervised learning. This course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. Importing and running external models in Model Studio is also discussed, including open-source models. SAS Viya automation capabilities at each stage of machine learning are also demonstrated, followed by some tips and tricks with Model Studio.
The self-study e-learning includes:
Who should attendAdvanced machine learning modelers who use Model Studio
Before attending this course, it is recommended that you have done the following:
This course addresses SAS Visual Statistics, SAS Visual Data Mining and Machine Learning software.
Machine Learning Fundamentals
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Advanced Machine Learning Using SAS Viya (PDF + 30 virtual lab hours)||21.0 hours||180 days||English||1,620 USD|