What are some techniques to improve model generalization in AI?

What are some techniques to improve model generalization in AI?

To improve model generalization, you can use techniques like regularization, data augmentation, and cross-validation.

Can you explain how regularization works?

Regularization adds a penalty to the loss function to prevent overfitting, helping the model generalize better.

What is data augmentation and how does it help?

Data augmentation involves creating modified versions of training data to increase diversity, which helps the model learn better.

Are there specific algorithms that are better for generalization?

Yes, algorithms like Random Forests and Support Vector Machines often generalize well due to their inherent properties.