Overfitting
Definition
Overfitting occurs when a model becomes too complex, fitting the training data too closely and failing to perform well on unseen data. This is often due to excessive parameters or insufficient training data.
When Overfitting is used
Training too long without validation
Which positions need this?
Data Scientists
Problem
Inability to generalize to new data, resulting in poor performance.
Example of how Overfitting is used in AI
A model trained on a small dataset performs excellently during training but fails when tested on new data, indicating overfitting has occurred.
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