Speed up training on Amazon SageMaker using Amazon FSx for Lustre and Amazon EFS file systems

Favorite Amazon SageMaker provides a fully-managed service for data science and machine learning workflows. One of the most important capabilities of Amazon SageMaker is its ability to run fully-managed training jobs to train machine learning models. Visit the service console to train machine learning models yourself on Amazon SageMaker. Now you

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Shared by AWS Machine Learning August 28, 2019

AWS DeepRacer League weekly challenges – compete in the AWS DeepRacer League virtual circuit to win cash prizes and a trip to re:Invent 2019!

Favorite The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can get hands-on with machine learning in a fun and exciting way, racing for prizes and glory at 21 events globally and online using the AWS DeepRacer console. The

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Shared by AWS Machine Learning August 15, 2019

Adding a data labeling workflow for named entity recognition with Amazon SageMaker Ground Truth

Favorite Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth enables you to efficiently and accurately label the datasets required to train machine learning (ML) systems. Ground Truth provides built-in labeling workflows that take human labelers step-by-step through tasks and provide tools to help them produce good results. Built-in workflows

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Shared by AWS Machine Learning August 8, 2019