What is data generalization in AI?

What is data generalization in AI?

Data generalization in AI refers to the ability of a model to apply learned patterns from training data to unseen data.

Can you give me an example of data generalization?

Sure! For instance, if a model is trained on images of cats and dogs, it should be able to identify a new cat or dog it hasn't seen before.

Why is data generalization important?

It's crucial because it ensures that AI models perform well on real-world data, not just the data they were trained on.

What happens if a model overfits?

If a model overfits, it learns the training data too well, including noise, and fails to generalize to new data.