#393: ML Explainability using Amazon SageMaker Debugger
Podcast |
AWS Podcast
Publisher |
Amazon Web Services
Media Type |
audio
Categories Via RSS |
News
Tech News
Technology
Publication Date |
Sep 20, 2020
Episode Duration |
00:28:00
This episode discusses the growing need for machine learning explainability across various business verticals. Then it introduces Amazon SageMaker Debugger, a service that provides visibility into the ML model training process for real-time and offline analysis. https://aws.amazon.com/blogs/aws/amazon-sagemaker-debugger-debug-your-machine-learning-models/

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