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Active Learning in Machine Learning: Enhancing Efficiency and Accuracy
Machine learning algorithms have revolutionized the way we approach complex problems and make predictions. However, they heavily rely on labeled data for training, which can be a time consuming and expensive process. Active learning, a subfield of machine learning, aims to overcome this limitation by intelligently selecting the most informative instances to label, thus reducing the annotation effort while maintaining or improving the model's performance.
Written byDavid Thompson
Published onJuly 5, 2023
