Explain GRADIENT BOOSTING: “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].
Different definitions in web development like gradient boosting in Dictionary G.
- Manual Gradient Descent:
- Meaning algorithm for finding the input to a function “that produces the largest (or smallest) possible value... one approach to maximizing a function is to pick a random starting point, compute the gradient gradient boosting.
- Manual GATE:
- Meaning Architecture for Text Engineering,” an open source, Java-based framework for natural language processing tasks. The framework lets you pipeline other tools designed to be plugged into it. The project gradient boosting.