What are hybrid approaches in AI?

What are hybrid approaches in AI?

Hybrid approaches in AI combine different techniques, like machine learning and rule-based systems, to enhance performance.

Can you give me an example of a hybrid approach?

Sure! A common example is using neural networks for feature extraction and then applying decision trees for classification.

What are the benefits of using hybrid approaches?

They often provide better accuracy, flexibility, and can handle a wider range of problems compared to single-method approaches.

Are there any drawbacks to hybrid approaches?

Yes, they can be more complex to implement and may require more computational resources.

How do I choose the right hybrid approach for my project?

Consider the specific problem you're addressing, the data available, and the resources at your disposal.