ML Fundamentals
Overfitting
When an ML model learns training data too well and fails to generalise to new data. A model that 'memorises' rather than 'learns'. Prevented by regularisation, dropout, and cross-validation.
Use this term as a quick reference, then jump back into the part of the site where it matters.