Architecting Effective Data Labeling Systems for Machine Learning Pipelines
انتشار: خرداد 21، 1403
بروزرسانی: 16 آذر 1404

Architecting Effective Data Labeling Systems for Machine Learning Pipelines


Machine learning models are trained on massive datasets in which each data point is labeled to give it context and meaning. This deep dive describes how to build a data labeling architecture from scratch, with a focus on workflow, security, and data quality.

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