#393: ML Explainability using Amazon SageMaker Debugger

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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The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.