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课程大纲
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
要求
- An understanding of business rules concepts
- An understanding of machine learning concepts
14 小时
客户评论 (7)
培训师的实践知识
Waldek - Polska Spółka Gazownictwa sp. z o.o.
课程 - IBM ODM Decision Management
机器翻译
good atmosphere
Martin Jesterschawek
课程 - Business Rule Management (BRMS) with Drools
Positive and optimistic attitude. Gives good answers to questions.
Emil Krabbe Nielsen
课程 - Introduction to Drools 6 for Developers
I loved that he was able to see our machines to help us when we got stuck.
Megan Burns - Sandia National Labs
课程 - Drools 7 and DSL for Business Analysts
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.
课程 - Introduction to Drools 7 for Developers
I appreciate the fact that they address my suggestion before to share the presentation with manual before the training. Very helpful on my part. Also, the individual activity, I liked it, our trainer were able to see how we interpret each case scenarios.
Kim Justine Ferriol - Thakral One, Inc.
课程 - jBPM and Drools
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.
