Gradient Boosting
Quick Definition
Sequential ensemble method correcting previous model errors
Full Definition
An ensemble technique building models sequentially where each corrects errors of previous ones.
Examples
XGBoost, LightGBM, Kaggle competitions
Related Terms
ensemble-learning
random-forest
decision-tree
More Machine Learning Terms
AdaBoost
Combining weak classifiers with adaptive sample weighting
Boosting
Sequentially combining weak learners correcting previous errors
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Bagging
Training models on random subsets and averaging predictions
Feature Engineering
Creating and transforming input variables to improve performance
Autoencoder
Neural network learning compressed data representations