uncertainty sampling

Mastering Active Learning: Boost Your Machine Learning Efficiency Today

Active learning in machine learning is a technique that enhances model performance by selectively querying the most informative data points. This approach reduces labeling costs and improves efficiency, making it valuable for applications with limited labeled data. Understanding its implementation can significantly benefit data-driven projects.