How Active Learning Can Improve Your Computer Vision Pipeline
DagsHub
DECEMBER 23, 2024
They are: Based on shallow, simple, and interpretable machine learning models like support vector machines (SVMs), decision trees, or k-nearest neighbors (kNN). Provides a Python API for customization and integration with existing ML pipelines. Overview of the types of active learning | Source : Settles, B.
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