Machine Learning
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Online Learning
Quick Definition
Updating models incrementally as new data arrives
Full Definition
A ML approach updating models incrementally as new data arrives without full retraining.
Examples
streaming data, real-time recommendations, stock prediction
Related Terms
incremental-learning
streaming
More Machine Learning Terms
Clustering
Grouping similar data points based on feature similarity
Learning Rate
Hyperparameter controlling gradient descent step size
Bagging
Training models on random subsets and averaging predictions
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Autoencoder
Neural network learning compressed data representations
CatBoost
Gradient boosting library with native categorical feature support