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Bias, Accuracy, and the Statistics of AI Testing
Introduction
What you'll learn (9:01)
Course Resources
Week 1 - Foundations
The sociotechnical algorithm (8:30)
Inputs, outputs, and parameter spaces (12:25)
Statics, probability, and sampling (27:36)
Exercise 1: Putting your knowledge to work
Week 2 - Metrics & Testing
Bias testing: general strategy (18:46)
Basic performance metrics (26:28)
Robustness, and validation (18:38)
Examples (31:03)
Exercise 2: Case study
Statics, probability, and sampling
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