Broadcast Date: June 26, 2019
Damages due to fraud cost businesses and individuals billions of dollars annually. Using machine learning, these damages can be significantly be reduced and avoided by automating the detection of potentially fraudulent events. In this tech talk, we will discuss how we can apply machine learning using Amazon SageMaker to detect fraudulent events and flag those events for review automatically. We will dive deeply into a technical solution using machine learning to detect and potentially prevent fraud, using an end-to-end mechanism.
- Learn about building a solution using machine learning with Amazon SageMaker to detect fraud
- Learn how Amazon SageMaker along with other relevant AWS services can help you build a technical solution to address fraud
- Learn about using the strengths of machine learning with Amazon SageMaker to detect and potentially avoid fraud for your business
Who Should Attend?
Machine Learning Practitioners, Developers, Data Scientists, Technical Decision Makers, Architects
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.