A decision tree is a great tool to help making good decisions from a huge bunch of data. In this episode, we talk about boosting, a technique to combine a lot of weak decision trees into a strong learning algorithm.
Please note that gradient boosting is a broad concept and this is only one possible application of it!
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The paper “Experiments with a new boosting algorithm” is available here:
Another great introduction to tree boosting:
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