Integrating Machine Learning and Business Rules with Rules Learner Training Course

Last updated

Course Code

ruleslearner

Duration

14 hours (usually 2 days including breaks)

Requirements

  • An understanding of business rules concepts
  • An understanding of machine learning concepts

Overview

Rule Learner is the principal component of the OpenRules Business Rules Management System. It is used to generate business rules based on existing data.

In this instructor-led, live training (onsite or remote), participants will learn how to use Rule Learner to generate rules by combining machine learning and business rules technologies and techniques.

By the end of this training, participants will be able to:

  • Extract patterns and classification from large data sets
  • Combine different software components and techniques to generate business rules
  • Store, manage and optimize business rules in a rules repository

Audience

  • Developers
  • Data scientists
  • System architects

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

Course Outline

Introduction

  • Why combine machine learning (ML) with business rules (BR)?

Installing and Configuring Rules Learner

Architecture Overview

  • The OpenRules Business Rules Management System and Rule Learner

Rules Discovery in ML and BR

Extracting Patterns from Data

Generating Classification Rules

Creating Training Sets for Supervised Machine Learning

Integrating Machine Learning Algorithms with Rules Learner

Parsing and Converting Rules into Different Formats

Executing Rules with Rules Engine

Updating Training Rules

Reducing Rule Redundancy

Maintenance and Troubleshooting

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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