Balancing ML innovations and human expertise to deliver the highest quality
At Alegion, we strive to use the right balance of ML innovations and human expertise to deliver the highest quality outputs and our in-house data scientists are dedicated to expanding the uses of ML in our platform.
In this short guide, we walk through several ways Machine Learning can be used to improve the quality of data labeling, including:
- ML Judgments
- QA Workflows
- ML-Powered Pre-Labeling
- ML-Assisted Annotation Tools
