
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Create an anti-fraud strategy to identify loan applicants highly likely to commit fraud by using customer demographic data, credit history, and payment behavior. Decision trees applied to extract features of fraud to detect early-on. Seamlessly deployed in our client's environment, we inferred the signals to detect bad actors. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: APPFR-PS-LOA-AWS-001
Key Data
Version | |
By | ElectrifAi LLC |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
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Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
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