What is Gradient Boosting?

Ensemble learning with sequential weak learners. Gradient Boosting is a intermediate machine learning algorithm used for categorizing data into classes. Before learning Gradient Boosting, you should understand: trees, gradient-descent. Real-world applications include: Kaggle competitions, Click prediction, Fraud detection. This builds on foundational concepts and requires some background knowledge.