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GlossaryMachine LearningOnline Learning

Online Learning

[ˈɒnlaɪn ˈlɜrnɪŋ]
Machine Learning
Last updated: December 9, 2024

Definition

Updating models incrementally as new data arrives.

Detailed Explanation

Online Learning involves updating the model continuously with each new data point making it suitable for real-time applications and streaming data. It contrasts with batch learning which uses the entire dataset at once.

Use Cases

Stock market prediction real-time recommendation systems adaptive spam filters personalization intrusion detection.

Related Terms

AdaGrad

An optimization algorithm that adapts the learning rate to the parameters, performing smaller updates for frequently occurring features and larger updates for infrequent ones.

Machine Learning

Federated Learning

A machine learning approach where models are trained across multiple devices or servers without exchanging raw data.

Machine Learning

Imbalanced Data

Datasets where the distribution of target variables is significantly skewed.

Machine Learning