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- Introductions
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Classroom Contents
Rethinking ML Development - A Data-Centric Approach
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- 1 - Introductions
- 2 - Agenda
- 3 - AI Today
- 4 - What is Data-Centric AI?
- 5 - The Move to Data-Centric AI
- 6 - Set Yourself up for Iteration
- 7 - Great Tools Help Make Great Products
- 8 - Make it easy to write, test, run, and reproduce your analytics
- 9 - Solve one problem at a time
- 10 - Quality is everyone’s problem, especially with data
- 11 - Recap
