How do hybrid models work?

Can you explain how hybrid models work in AI?

Sure! Hybrid models combine different types of algorithms, like rule-based and machine learning, to improve performance.

What are some examples of hybrid models?

Examples include ensemble methods like Random Forests and systems that integrate neural networks with traditional algorithms.

Why are hybrid models preferred over single models?

They often provide better accuracy and robustness by leveraging the strengths of multiple approaches.

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

Consider the nature of your data, the problem you're solving, and the strengths of the algorithms you want to combine.