What are hybrid techniques in AI learning?

What are hybrid techniques in AI learning?

Hybrid techniques in AI learning combine different methodologies, like supervised and unsupervised learning, to improve performance.

Can you give me an example of a hybrid technique?

Sure! One example is using a combination of decision trees and neural networks to enhance predictive accuracy.

What are the benefits of using hybrid techniques?

The benefits include improved accuracy, flexibility in handling various data types, and the ability to leverage strengths from multiple approaches.

Are there any challenges associated with hybrid techniques?

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