What is ensemble learning in AI?
An example of an AI chatbot conversation about ensemble learning in AI.
What is ensemble learning in AI?
Ensemble learning is a technique that combines multiple models to improve overall performance and accuracy.
How does it work?
It works by training several models and then aggregating their predictions, often using methods like voting or averaging.
What are some common ensemble methods?
Common methods include bagging, boosting, and stacking, each with its own approach to combining models.
Can you give an example of ensemble learning in action?
Sure! Random Forest is a popular ensemble method that uses multiple decision trees to make predictions.
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