Overview
AI development exceptions are crucial to understand as they can lead to significant issues in AI systems. By recognizing common exceptions like overfitting and data bias, developers can create more robust models. Debugging and performance optimization are essential skills that help in addressing the...
Key Terms
Example: A division by zero error in a calculation.
Example: A complex model that performs well on training data but poorly on new data.
Example: A linear model trying to fit a complex, non-linear dataset.
Example: A facial recognition system trained mostly on images of one ethnicity.
Example: Using print statements to track variable values during program execution.
Example: An algorithm that sorts data in O(n log n) time is more efficient than one that sorts in O(n²) time.