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
Underfitting
When a model is too simple to capture data patterns
Linear Regression
Modeling variable relationships by fitting a linear equation
Backpropagation
Algorithm computing gradients for neural network weight updates
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
Model Selection
Choosing the best ML model from candidates
Unsupervised Learning
Discovering hidden patterns in unlabeled data