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What is Gradient Boosting Machine?
What is the main idea behind ensemble learning?
What problem does Gradient Boosting address?
What analogy is used to explain how Gradient Boosting Machines work?
What is the mathematical representation of Gradient Boosting?
What is the purpose of the ‘gradient’ in Gradient Boosting?
What are weak learners in the context of Gradient Boosting?
What is overfitting in the context of Gradient Boosting?
What is the main advantage of Gradient Boosting Machine over other models?
What is a limitation of Gradient Boosting Machine?
In what scenario does Gradient Boosting Machine perform well?
How does Gradient Boosting differ from Random Forests?
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