Artificial Intelligence
Verifying and adjusting your data labels to create higher quality training datasets with Amazon SageMaker Ground Truth
Building a highly accurate training dataset for your machine learning (ML) algorithm is an iterative process. It is common to review and continuously adjust your labels until you are satisfied that the labels accurately represent the ground truth, or what is directly observable in the real world. ML practitioners often built custom systems to review […]