Moving from notebooks to automated ML pipelines using Amazon SageMaker and AWS Glue
https://aws.amazon.com/blogs/machine-learning/moving-from-notebooks-to-automated-ml-pipelines-using-amazon-sagemaker-and-aws-glue/
https://aws.amazon.com/blogs/machine-learning/moving-from-notebooks-to-automated-ml-pipelines-using-amazon-sagemaker-and-aws-glue/
https://aws.amazon.com/blogs/machine-learning/aws-inferentia-is-now-available-in-11-aws-regions-with-best-in-class-performance-for-running-object-detection-models-at-scale/
http://feedproxy.google.com/~r/nvidiablog/~3/67fAEIOb-K8/
http://feedproxy.google.com/~r/nvidiablog/~3/bzgiOv7qZk8/
https://aws.amazon.com/blogs/machine-learning/active-learning-workflow-for-amazon-comprehend-custom-classification-models-part-1/
https://aws.amazon.com/blogs/machine-learning/football-tracking-in-the-nfl-with-amazon-sagemaker/
https://aws.amazon.com/blogs/machine-learning/data-visualization-and-anomaly-detection-using-amazon-athena-and-pandas-from-amazon-sagemaker/
https://aws.amazon.com/blogs/machine-learning/active-learning-workflow-for-amazon-comprehend-custom-classification-models-part-1/
https://aws.amazon.com/blogs/machine-learning/improved-ocr-and-structured-data-extraction-with-amazon-textract/