Artificial Intelligence
Author: Geremy Cohen
Geremy is a Solutions Architect at AWS. He enjoys spending time with his family, BBQing, and breaking and fixing things around the house.
Unified data preparation, model training, and deployment with Amazon SageMaker Data Wrangler and Amazon SageMaker Autopilot – Part 2
Depending on the quality and complexity of data, data scientists spend between 45–80% of their time on data preparation tasks. This implies that data preparation and cleansing take valuable time away from real data science work. After a machine learning (ML) model is trained with prepared data and readied for deployment, data scientists must often […]
Implementing a custom labeling GUI with built-in processing logic with Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth is a fully managed data labeling service that makes it easy to build highly accurate training datasets for machine learning. It offers easy access to Amazon Mechanical Turk and private human labelers, and provides them with built-in workflows and interfaces for common labeling tasks. A labeling team may wish to use […]