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
Kernel Trick
Transforming data to higher dimensions for linear separability
Autoencoder
Neural network learning compressed data representations
Boosting
Sequentially combining weak learners correcting previous errors
Markov Chain
Stochastic model where events depend only on previous state
K-Means
Partitioning data into k clusters by updating centroids
Feature Selection
Identifying the most relevant features for model training