Accelerate your identity verification projects using AWS Amplify and Amazon Rekognition sample implementations

Favorite Amazon Rekognition allows you to mitigate fraudulent attacks and minimize onboarding friction for legitimate customers through a streamlined identity verification process. This can result in an increase in customer trust and safety. Key capabilities of this solution include: Register a new user using a selfie Register a new user

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Shared by AWS Machine Learning July 19, 2022

Build a predictive maintenance solution with Amazon Kinesis, AWS Glue, and Amazon SageMaker

Favorite Organizations are increasingly building and using machine learning (ML)-powered solutions for a variety of use cases and problems, including predictive maintenance of machine parts, product recommendations based on customer preferences, credit profiling, content moderation, fraud detection, and more. In many of these scenarios, the effectiveness and benefits derived from

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Shared by AWS Machine Learning July 15, 2022

Track your ML experiments end to end with Data Version Control and Amazon SageMaker Experiments

Favorite Data scientists often work towards understanding the effects of various data preprocessing and feature engineering strategies in combination with different model architectures and hyperparameters. Doing so requires you to cover large parameter spaces iteratively, and it can be overwhelming to keep track of previously run configurations and results while

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Shared by AWS Machine Learning July 15, 2022

Onboard PaddleOCR with Amazon SageMaker Projects for MLOps to perform optical character recognition on identity documents

Favorite Optical character recognition (OCR) is the task of converting printed or handwritten text into machine-encoded text. OCR has been widely used in various scenarios, such as document electronization and identity authentication. Because OCR can greatly reduce the manual effort to register key information and serve as an entry step

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Shared by AWS Machine Learning July 8, 2022