Streamlining machine learning operations (Level 200)

August 9, 2020
"Machine learning (ML) workflows are continuous and iterative processes that require adequate tools and practices in order for ML teams to be highly efficient. In this session, we discuss the common challenges faced when using ML systems in production, and we address these challenges by diving deep into the new features introduced for Amazon SageMaker, including Debugger and Model Monitor. Speaker: Kapil Pendse, Solutions Architect, Amazon Web Services"
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Best practices for building production-grade Deep Learning systems (Level 300)
Best practices for building production-grade Deep Learning systems (Level 300)

"AWS offers different paths for building and deploying scalable ML solutions. In this session, we dive deep...

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