How does boosting work?
An example of an AI chatbot conversation about how boosting algorithms enhance model performance.
Can you explain how boosting works in machine learning?
Sure! Boosting is an ensemble technique that combines multiple weak learners to create a strong learner.
What are weak learners?
Weak learners are models that perform slightly better than random guessing. They are combined in boosting to improve accuracy.
How does the combination process work?
In boosting, each weak learner is trained sequentially, focusing on the errors made by the previous ones, thus improving overall performance.
Can you give an example of a boosting algorithm?
Certainly! AdaBoost and Gradient Boosting are popular examples of boosting algorithms used in various applications.
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