Lesson 1Ambiguity in Image DataJudging when image data misleads and how to calibrate decisions.Start2 Micro-lessonsMicro lesson 1Subtle Data BiasMicro lesson 2Ambiguous Boundaries
Lesson 2Trade-offs in Model ComplexityBalancing complexity and reliability under real-world constraints.Start2 Micro-lessonsMicro lesson 1Overfitting TemptationMicro lesson 2Ignoring Edge Cases
Lesson 3Long-term Consequences of MisclassificationRecognizing delayed and compounding effects of vision errors.Start2 Micro-lessonsMicro lesson 1Silent AccumulationMicro lesson 2When Not to Correct