Artificial Intelligence: ...
Artificial Intelligence: Creating and Augmenting Models with Human in the Loop Workflows
Wednesday, April 10 • 1:00 PM - 1:30 PM
In this session see a demonstration of all of the areas where human-in-the-loop workflows can help streamline, automate and even augment machine learning. With model creation becoming more and more automated, creating good data sets is still a problem. We cover the creation, labeling and maintenance of a data set, as well as using human-in-the-loop validation to deal with any results that do not have high confidence scores, which then feeds back into the data set to further refine the ML models. No matter how advanced your model is, it will not be 100% accurate all of the time. In this session, discover how you can use human-in-the-loop workflows to improve accuracy, lower cost and improve the time to value of your machine learning workflows.
Presented by AWS
Education Program: AI & Cloud Campus