Lesson 1
Ambiguity in Face Data
Navigating uncertainty in facial datasets and the risks of overconfidence.
Start2 Micro-lessons
Micro lesson 1
False Positives Under PressureMicro lesson 2
Dataset Drift and Blind SpotsLesson 2
Trade-offs in Model Tuning
Balancing accuracy, bias, and real-world cost in face recognition systems.
Start2 Micro-lessons
Micro lesson 1
Overfitting to Familiar FacesMicro lesson 2
Bias Amplification in Edge CasesLesson 3
Long-term Effects of Deployment
Understanding how face recognition systems evolve and degrade over time.
Start2 Micro-lessons
Micro lesson 1
System Decay Over TimeMicro lesson 2
When Not to Update the Model