Instruction: Explain how imbalanced datasets affect the training of deep learning models and propose solutions to address these challenges.
Context: This question assesses the candidate's understanding of a common problem in machine learning and their ability to devise effective strategies to overcome it.
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The way I'd explain it in an interview is this: The main challenge is that deep models can look strong overall while largely ignoring the minority cases you care about. Because they are flexible and high-capacity, they can also learn majority-class shortcuts very efficiently unless the training...