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Reduce the cost of any project
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Classroom Contents
We Build a ML Pipeline After We Deploy
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- 1 Introduction
- 2 One stop solution
- 3 Agenda
- 4 Who am I
- 5 What is ML pipeline
- 6 Why do we need this pipeline
- 7 Why automate it
- 8 Reduce the cost of any project
- 9 When should we use it
- 10 When to scale
- 11 Building blocks
- 12 Continuous Integration
- 13 Continuous Delivery
- 14 Automated Pipeline
- 15 Continuous Delivery Process
- 16 Monitoring
- 17 Engineering
- 18 Debugging
- 19 Top 3 debugging issues
- 20 Python libraries
- 21 QA time
