“In Machine Learning this is called overfitting: it means that the model performs well on the training data, but it does not generalize well.” — Aurélien Géron Copy Share Image
“In Machine Learning this is called overfitting: it means that the model performs well on the training data, but it does not generalize well.” — Aurélien Géron Copy Share Image
“Some photo-hosting services, such as Google Photos, are good examples of this. Once you upload all your family photos to the service, it automatically… — Aurélien Géron Copy Share Image
