Explain the concept of overfitting in machine learning, and describe techniques to mitigate or prevent overfitting in a model additional word?
This question explores the challenge of overfitting in machine learning models. The answer should cover what overfitting is, why it occurs, and provide practical strategies or techniques that can be employed to reduce overfitting. This includes methods such as regularization, cross-validation, and adjusting model complexity.
