Machine Learning 面试题与答案
Question: What is gradient boosting, and how does it work?Answer: Gradient boosting is an ensemble learning technique that builds a series of weak learners, typically decision trees, in a sequential manner. Each new learner corrects the errors of the previous ones, producing a strong, accurate model. |
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