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.
Learn more about Tom's work at Amazon here: www.amazon.sci...
Follow us:
Website: www.amazon.sci...
Twitter: / amazonscience
Facebook: / amazonscience
Instagram: / amazonscience
LinkedIn: / amazonscience
Newsletter: www.amazon.sci...