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Classroom Contents
Continuous Intelligence - Keeping Your AI Application in Production
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- 1 Introduction
- 2 Continuous Delivery for Machine Learning
- 3 Build Pipeline
- 4 Challenges
- 5 Reasons
- 6 More types of change
- 7 Pipelines
- 8 Stages
- 9 Technology stack
- 10 Demo
- 11 Delivery Pipelines
- 12 Continuous Intelligence Workshop
- 13 How it works
- 14 Red pipeline
- 15 DBC pull
- 16 Redeploy
- 17 Continuous Intelligent Cycle
- 18 Questions
- 19 How to package a model
- 20 Bringing data scientists and developers closer
- 21 Data versioning
- 22 Evaluation stage
- 23 Test stage
- 24 Supervised learning
- 25 Working together
- 26 Continuous monitoring
- 27 Monitoring
