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1 year ago in Machine Learning By Nidhi S

What are online (incremental) learning algorithms in machine learning?

How do incremental learning algorithms work to adapt machine learning models to new data streams in real-time?

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By Vinod D Answered 1 month ago

Online learning algorithms update their model incrementally with each new data point, without reprocessing old data. Key examples are Stochastic Gradient Descent (SGD), Perceptron, Naive Bayes, and Adaptive Random Forest. In contrast, batch algorithms (like standard SVM) require the full dataset.

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