Overfitting

Overfitting is a common problem in machine learning where a model becomes too closely fit to the training data, resulting in poor performance on new, unseen data. As AI and machine learning continue to drive innovation in the tech industry, understanding overfitting is crucial for developers and data scientists to build reliable and accurate models that generalize well to real-world applications.