Machine Learning Interview Questions and Answers

Question: What is overfitting, and how can it be prevented?

Answer: Overfitting occurs when a model learns the training data too well, capturing noise and producing poor generalization on new data. Regularization techniques, cross-validation, and increasing training data are common methods to prevent overfitting.