Amazon Fraud Detector – Online Fraud Detection using Machine Learning

Start identifying potential online fraud faster and easier with Amazon Fraud Detector. Amazon Fraud Detector is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon to help customers detect common types of online fraud.

Learn more about Amazon Fraud Detector at – https://amzn.to/3nTf1ni​

Learning Objectives:
1. Learn how Amazon Fraud Detectors is helping customers today
2. Learn about what are the minimum data sets you need to get start building models
3. Learn how to get started using simple API integration

Globally each year, organizations lose tens of billions of dollars to online fraud. Amazon Fraud Detector, released earlier this year, allows organizations around the globe to take advantage of over 20+ years of fraud detection expertise at Amazon using machine learning. Learn how Amazon fraud mitigation strategies influenced the development of Amazon Fraud Detector, and hear how organizations are applying it with successful outcomes.

Amazon Fraud Detector is a fully managed service that uses machine learning (ML) to identify potentially fraudulent activity. Amazon Fraud Detector automates the time consuming and expensive steps to build, train, and deploy an ML model for fraud detection.

Amazon Fraud Detector customizes each model it creates to a customer’s own dataset. The model can be called using API to detect the frauds in the applications.

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