Broadcast Date: December 10, 2018
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data labeled by humans so that the service learns to label data independently.
- Learn about Amazon SageMaker Ground Truth and how to build training datasets with high accuracy
- Learn how you can achieve automated labeling while reducing costs by up to 70% to address a range of use cases including computer vision, natural language processing (NLP) and more
- Learn how to get started with Amazon SageMaker Ground Truth on the AWS Management Console today
Who Should Attend?
Machine Learning Practitioners, Data Scientists, Developers, Data Architects, Technical Decision Makers
- Vikram Madan, Sr. Product Manager, AWS
To learn more about the services featured in this talk, please visit:
Service How To
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