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本文深入探讨了梯度增强（Gradient Boosting Machine, GBM）的起源，从AdaBoost的历史讲起，解释了如何通过弱模型构建强模型。文章介绍了GBM算法，展示了其在不同损失函数下的工作原理，并讨论了权重在优化问题中的作用。最后，总结了GBM作为强大机器学习算法的广泛应用和灵活性。"
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Gradient Boosting
Today we are going to have a look at one of the most popular and practical machine learning algorithms: gradient boosting.
Outline
We recommend going over this article in the order described below, but feel free to jump around between sections.
- Introduction and history of boosting
- History of Gradient Boosting Machine
- GBM algorithm
- ML Problem statement
- Functional gradient descent
- Friedman’s class
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