Predictive Modeling Using SAS High-Performance Analytics Procedures
SAS high-performance procedures provide predictive modeling tools that have been specially developed to take advantage of parallel processing in both multithreaded single-machine mode and distributed multiple-machine mode to solve big data problems. This course gives overview of all SAS High-Performance solutions and specifically introduces the functionality in the SAS High-Performance Statistics and Data Mining procedures for predictive modeling. The course shows examples of applying advanced statistics to huge volumes of data and quickly retrain many predictive modes using all available processing power in a single-machine mode and in distributed mode.Learn how to
Who should attendExperienced statisticians and predictive modelers who need to learn the functionality and use of SAS High-Performance Analytics procedures to build and assess predictive models
Before attending this course, you should have
It is recommended that you have previously completed the Predictive Modeling Using Logistic Regression course or have equivalent knowledge and experience.
This course addresses SAS Enterprise Miner, SAS/STAT, SAS High-Performance Statistics software.
This course addresses SAS High-Performance Statistics, SAS High-Performance Data Mining, and SAS High-Performance Econometrics. This course addresses high-performance procedures that are shipped with SAS/STAT (14.1), procedures that are licensed with SAS Enterprise Miner (14.1), and touches on SAS/ETS (14.1) software.
Introduction to SAS High-Performance Analytics