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<span xml:lang="en">Amazon SageMaker Best Practices : Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker</span>

Muppala, Sireesha

DeFauw, Randy

Eigenbrode, Shelbee

Overcome advanced challenges in building end-to-end ML solutions by leveraging the capabilities of Amazon SageMaker for developing and integrating ML models into productionKey FeaturesLearn best practices for all phases of building machine learning solutions - from data preparation to monitoring models in productionAutomate end-to-end machine learning workflows with Amazon SageMaker and related AWSDesign, architect, and operate machine learning workloads in the AWS CloudBook DescriptionAmazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and...

Overcome advanced challenges in building end-to-end ML solutions by leveraging the capabilities of Amazon SageMaker for developing and integrating ML...

Format

Amazon SageMaker Best Practices

Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker

Sireesha Muppala

Randy DeFauw

Shelbee Eigenbrode

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