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Could you define the concepts of overfitting and underfitting in machine learning, and explain their relevance in model development?
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Interview question asked to Machine Learning Engineers interviewing at Peek, Apple, Microsoft and others: Could you define the concepts of overfitting and underfitting in machine learning, and explain their relevance in model development?.