What are some effective model integration techniques in AI?

What are some effective model integration techniques in AI?

There are several techniques for integrating models in AI, such as ensemble methods, model stacking, and transfer learning.

Can you explain ensemble methods in more detail?

Ensemble methods combine multiple models to improve performance. Common techniques include bagging, boosting, and voting.

What is model stacking?

Model stacking involves training a new model to combine the predictions of several base models, often leading to better accuracy.

How does transfer learning work?

Transfer learning leverages knowledge from a pre-trained model on a new, but related task, reducing training time and data needs.