This course highlights the similarities and differences between the High-Performance nodes in SAS Enterprise Miner 13.1 and the classical nodes. A software demonstration is included.
Learn how to
- differentiate between how data is analyzed in the traditional SAS environment compared to the SAS High-Performance environment
- identify similarities and differences between properties of High-Performance Data Mining nodes in SAS Enterprise Miner and their counterpart, traditional data mining nodes
- use SAS High-Performance Data Mining nodes for which there are no traditional counterparts.
Who should attend
Experienced users of SAS Enterprise Miner 5.3 or higher
Formats available | Standard Duration (duration can vary, see event schedule for details) | | |
Classroom: |
1.0 day | | |
Live Web Classroom: |
2 half-day session(s) |
|
Before attending this course, you should complete the Applied Analytics Using SAS Enterprise Miner course or have equivalent experience.
This course addresses SAS Enterprise Miner, SAS High-Performance Data Mining software.
Overview of SAS High-Performance Analytics Architectures- introduction
- High-Performance Analytics architecture
Accessing and Exploring Data- creating a data source
- the High-Performance (HP) Data Partition node
- the HP Explore node
Assessing and Transforming Data- the HP Impute node
- the HP Transform node
- the HP Variable Selection node
Modeling Data- the HP Forest node
- the HP Regression node
- the HP Neural node
Assessing Models and Scoring- High-Performance Data Mining (HPDM) assessment
- scoring