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Agenda
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Classroom Contents
Designing an ML Minded Product and a Product Minded ML System
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- 1 Introduction
- 2 Grace Huang Introduction
- 3 Before You Start
- 4 Agenda
- 5 Data Considerations
- 6 User Data
- 7 Logging
- 8 Poll
- 9 Training Data
- 10 Evaluation
- 11 Metrics
- 12 Product Monitoring
- 13 Automation
- 14 Data System Bias
- 15 Bias in ML Models
- 16 Testing and Monitoring
- 17 Infrastructure
- 18 Measurement and understanding
- 19 Troubleshooting
- 20 Do you really need ML
