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
Feature Engineering
Creating and transforming input variables to improve performance
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Precision Recall
Metrics measuring positive prediction quality and coverage
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Decision Tree
Tree-like model splitting data based on feature values
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors