gradient boosting

What is gradient boosting?

gradient boosting meaning in Data Science terminology / glossary / dictionary is:
“Gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees. It builds the model in a stage-wise fashion like other boosting methods do, and it generalizes them by allowing optimization of an arbitrary differentiable loss function.”[wikipediagb] Wikipedia entry

 

reference: http://www.datascienceglossary.org/#matrix