SAS Model Manager

コース名 レベル 受講形態
ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS
Companies need to continually adapt to changing business conditions. They can make informed decisions with the help of predictive models, but many businesses still struggle with getting models into production in a reasonable timeframe. This course describes how awareness of ModelOps (model operations) can streamline the journey from preparing data, building models, and deploying them in production environments to managing their performance. Proven DevOps (development operations) disciplines are evolving into the unique practice of deploying models in today’s environment.
Use of SAS Container Runtime and SAS Model Risk Management are also addressed, as are pointers about administrating a production environment.
This course helps candidates prepare for the SAS Certified ModelOps Specialist exam along with the topics covered in the SAS Viya :モデルの管理 course.

1 入門 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 中級 e-Learning
Strategies and Concepts for Data Scientists and Business Analysts
To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.

In this course, you gain the skills that data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.

This course combines scheduled, instructor-led classroom or Live Web sessions with small-group discussion, readings, and hands-on software demonstrations, for a highly engaging learning experience.

The self-study e-learning includes:

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

3 中級 e-Learning
SAS Viya :モデルの管理
この実践的なコースでは、モデルをその有用なライフサイクルを通じて管理する方法を学びます。
まず、モデリングプロジェクトを作成し、そこにモデルを追加、比較することで、チャンピオンモデルを特定することができます。

本コースでは、SAS Advanced Analyticsの機能、PythonおよびR言語を使用して作成されたモデルを使用します。
また、ワークフローを導入することで、モデルのガバナンスと監視の承認が守られていることを確認する手順の導入方法を紹介します。

モデルを導入する本番環境で、モデルをテストする方法を学びます。モデルテストが正常に実行された後、モデルを自動的に実行するようにスケジューリングする方法を学びます。

さらに、モデルの精度の継続的なパフォーマンスを、時間経過とともに測定・監視する方法を学びます。性能監視のプロセスも、クラスで自動的に実行されるようにスケジュールされます。

オプションでは、4種類のSAS Visual Text Analyticsモデルの登録方法とスコアリング方法を紹介します。

以下の内容を学習します。

3 中級 e-Learning