What are the applications of ensemble learning in AI?
Ensemble learning combines multiple models to improve performance. It's used in areas like finance, healthcare, and image recognition.
Can you give me an example of ensemble learning in healthcare?
Sure! In healthcare, ensemble methods can predict patient outcomes by combining various models that analyze different patient data.
How does ensemble learning improve accuracy?
It reduces overfitting and variance by averaging predictions from multiple models, leading to more robust and accurate results.
What are some popular ensemble learning techniques?
Some popular techniques include bagging, boosting, and stacking, each with unique approaches to model combination.
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