SAS Model Manager

標題 等級 培訓格式
SAS Risk Stratum: Data Preparation, Configuration, and Administration
This course introduces the solution administrator to the fundamental tasks for preparing, configuring, and administrating SAS Risk Stratum. The course provides hands-on demonstrations and practices for each relevant task. Students complete a capstone practice to review the process of configuring SAS Risk Stratum from loading new data to creating reports.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

3 Intermediate e-Learning
Managing Models and Building Decisions in SAS Viya New
本課程為SAS Viya 平台中對模型生命週期進行管理的課程,不論模型是使用Model Studio 的pipeline 建立,或是利用其他工具建立都適用。課程前半會介紹SAS Model Manager 的使用方式,課程後半則介紹在SAS Decision Manager 中如何透過規則或條件式建立商業決策流程。

3 Intermediate Classroom e-Learning
Managing SAS Analytical Models Using SAS Model Manager Version 14.2
This course focuses on the following key areas: managing SAS Model Manager data sources, creating a SAS Model Manager project, importing models into SAS Model Manager, using the SAS Model Manager Query Utility, creating scoring tasks, exporting models and projects into a SAS repository, and creating and configuring version life cycles. The course also covers generating SAS Model Manager model comparison reports, publishing and deploying SAS Model Manager models, creating SAS Model Manager production model monitoring reports, and creating user-defined reports.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

3 Intermediate Live Web Classroom e-Learning
Managing Models in SAS Viya
This applied, hands-on course teaches you how to manage models through their useful life cycle. You start by creating a modeling project, and then add and compare models to it so you can identify a champion model. The course uses models that are created using SAS Advanced Analytics capabilities and Python and R languages. The course also shows how to implement procedures that ensure that model governance and oversight approval is being followed by implementing workflow.

You learn how to test a model in the production environment to which it will be deployed. After the model test runs successfully, you learn how to schedule the model to run automatically.

Further, the course shows how to measure and monitor the ongoing performance of model accuracy over time. The performance monitoring process will also be scheduled to run automatically in class.

An optional lesson shows how to register and score four types of SAS Visual Text Analytics models.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

3 Intermediate Live Web Classroom e-Learning