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Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 2 of 3: Training a custom object detection model | The Internet of Things on AWS – Official Blog
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Use Amazon Augmented AI with Custom Task Types - Amazon SageMaker
Build your own brand detection and visibility using Amazon SageMaker Ground Truth and Amazon Rekognition Custom Labels – Part 2: Training and analysis workflows | AWS Machine Learning Blog
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Build custom Amazon SageMaker PyTorch models for real-time handwriting text recognition | AWS Machine Learning Blog
Extract custom entities from documents in their native format with Amazon Comprehend | AWS Machine Learning Blog
Use Amazon CloudWatch custom metrics for real-time monitoring of Amazon Sagemaker model performance | AWS Machine Learning Blog
Detecting playful animal behavior in videos using Amazon Rekognition Custom Labels | AWS Machine Learning Blog
Bringing your own custom container image to Amazon SageMaker Studio notebooks | AWS Machine Learning Blog
Extend Amazon SageMaker Pipelines to include custom steps using callback steps | AWS Machine Learning Blog
Automate continuous model improvement with Amazon Rekognition Custom Labels and Amazon A2I: Part 1 | AWS Machine Learning Blog
Deploy a custom Machine Learning Model with AWS Sagemaker | by Naresh Reddy | Analytics Vidhya | Medium
Active learning workflow for Amazon Comprehend custom classification models – Part 2 | AWS Machine Learning Blog
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Detect NLP data drift using custom Amazon SageMaker Model Monitor | AWS Machine Learning Blog
Announcing the launch of Amazon Comprehend custom entity recognition real-time endpoints | AWS Machine Learning Blog
Enrich Amazon Comprehend Medical with Custom Code and Models | AWS for Industries
Image classification and object detection using Amazon Rekognition Custom Labels and Amazon SageMaker JumpStart | AWS Machine Learning Blog
Use computer vision to measure agriculture yield with Amazon Rekognition Custom Labels | AWS Machine Learning Blog
