Coding Cloud

AWS Sagemaker

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Managed machine learning platform for building, training, and deploying AI models at scale on AWS infrastructure. Simplifies ML workflows and model management.

1AWS Sagemaker Studio
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31. Open Studio
4https://eu-west-1.console.aws.amazon.com/sagemaker/home?region=eu-west-1#/studio/open/d-vm4jhg8krkki/skywalker-ml
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62. File > New > Terminal
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83. git clone https://github.com/awslabs/amazon-sagemaker-examples.git
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104. https://aws.amazon.com/blogs/machine-learning/bring-your-own-model-for-amazon-sagemaker-labeling-workflows-with-active-learning/ 
11ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning >>> is an end-to-end example that shows how to bring your custom training, inference logic and active learning to the Amazon SageMaker ecosystem.
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134.1Artifacts 
14- An input manifest file using the UCI News Dataset with 20% of the data labeled
15- A CreateLabelingJob request
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Created on 8/18/2020