Research and engineering of robust machine learning systems | Amazon Science 

Tom Diethe, applied science manager in Amazon AWS, discusses solutions for "technical debt" when deploying ML systems at the Bristol Data Science Seminar series. He covers engineering-based solutions available through AWS SageMaker cloud machine learning services that ensures ML systems are efficient in long-term usage, robust to changes in the environment, and potential errors are discoverable.
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