Broadcast Date: December 10, 2018

Level: 200

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.

Learning Objectives

  • 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

Speakers

  • Vikram Madan, Sr. Product Manager, AWS


Learn More

To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/sagemaker/groundtruth



Intro body copy here about 2018 re:Invent launches.

Download the Slide Deck

Compute

Service How To

December 19th, 2018 | 1:00 PM PT

Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.

Register Now>

Containers

What's New / Cloud Innovation

December 11th, 2018 | 1:00 PM PT

EMBARGOED

Register Now>

Data Lakes & Analytics

Webinar 1:

What's New / Cloud Innovation

December 10th, 2018 | 11:00 AM PT

EMBARGOED

Register Now>

Webinar 2:

What's New / Cloud Innovation

December 12th, 2018 | 11:00 AM PT

EMBARGOED

Register Now>