Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired …

Aug 6, 2025 · A subset of machine learning known as "active learning" allows a learning algorithm to interactively query a user to label data with the desired outputs. The algorithm actively chooses from …

Jun 26, 2023 · Active learning is a supervised machine learning approach that aims to optimize annotation using a few small training samples.

Active learning is a supervised machine learning approach that aims to optimize annotation using a few small training samples. One of the biggest challenges in building machine learning (ML) models is …

Apr 21, 2025 · This paper gives a detailed overview of Active Learning (AL), which is a strategy in machine learning that helps models achieve better performance using fewer labeled examples.

Mar 28, 2022 · Active learning is a branch of machine learning in which a model can have access to newly labelled data points. It’s a common tactic used when there is an abundance of unlabelled data …

Aug 27, 2025 · Active Learning is a method that helps improve machine learning models by choosing which data to label. This approach is essential because labeling data can be expensive and time …

Apr 8, 2025 · What Is Active Learning In Machine Learning? - Dataconomy. Active learning in machine learning is a fascinating approach that allows algorithms to actively engage in the learning process.

Dec 11, 2024 · Active learning is a specialized subset of machine learning where the algorithm can actively query a user or an oracle (such as a human annotator) to label data points that are most …

Active learning is a machine learning approach where the learning algorithm actively interacts with a human annotator to get labels for new data points. Instead of labeling an entire dataset randomly, it …