Common in machine learning, overfitting makes a system that knows its training data but can't predict patterns in new data.

Unlock the secrets of overfitting and underfitting in machine learning. Learn how to optimize model performance and avoid common pitfalls.

Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions. However, ...

Because of the neural network basis of machine learning, and the fact that an overly complex model will often fit the same data “better,” we must constantly be on guard against overfitting, balancing ...