The Gradient Boosted Algorithm Explained!

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In the gradient-boosted trees algorithm, we iterate the following:
- We train a tree on the errors made at the previous iteration
- We add the tree to the ensemble, and we predict with the new model
- We compute the errors made for this iteration.
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You have a gift for teaching! This explanation was crystal clear. Subscribed and looking forward to more of your content!

mostafaebrahimi
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Very good and intuitive explanation of the algorithm. Thank-you!

SoimulPatriei
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Thanks, I forgot some details about Gradient Boosted Algorithm and I was too lazy to look it up.

knowledge_and_skills
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What's the difference of this algorithm from Boosting as explained in Hastie & Tibshirani's book published in 2013 (first version). It does seem the same.

antoniopiemontese
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Do you mean that the new tree is predicting the error? In that case, wouldn't you subtract the new prediction from the previous predictions

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