What are hybrid algorithms in machine learning?

What are hybrid algorithms in machine learning?

Hybrid algorithms in machine learning combine different techniques, like supervised and unsupervised learning, to improve performance.

Can you give me an example of a hybrid algorithm?

Sure! A common example is the use of ensemble methods, like Random Forest, which combines multiple decision trees.

What are the advantages of using hybrid algorithms?

They can enhance accuracy, reduce overfitting, and leverage the strengths of different algorithms for better results.

Are there any challenges associated with hybrid algorithms?

Yes, challenges include increased complexity, longer training times, and the need for careful tuning of parameters.