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
Requirements
- An understanding of business rules concepts
- An understanding of machine learning concepts
Getuigenissen (5)
Praktische kennis van de trainer
Waldek - Polska Spółka Gazownictwa sp. z o.o.
Machine Translated
The training is very interesting and can be useful on our future projects and the trainer is always active on answering our questions and helping us when we are having issues on our end.
Charles Kevin Regaliza - Thakral One Inc.
Cursus - Introduction to Drools 7 for Developers
I loved that he was able to see our machines to help us when we got stuck.
Megan Burns - Sandia National Labs
Cursus - Drools 7 and DSL for Business Analysts
I liked the positive and optimistic attitude. Gives good answers to questions.
Emil Krabbe Nielsen
Cursus - Introduction to Drools 6 for Developers
I really enjoyed the good atmosphere.