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
Regularization
Techniques constraining model complexity to prevent overfitting
CatBoost
Gradient boosting library with native categorical feature support
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Multi-Task Learning
Training one model for multiple related tasks simultaneously
Imbalanced Learning
Handling datasets with unequal class distributions
Contrastive Learning
Self-supervised learning by contrasting data pairs