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João Pereira
João Pereira

45 Followers

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Published in Towards Data Science

·Mar 3

Fast and Scalable Hyperparameter Tuning and Cross-validation in AWS SageMaker

Using SageMaker Managed Warm Pools — This article shares a recipe to speeding up to 60% your hyperparameter tuning with cross-validation in SageMaker Pipelines leveraging SageMaker Managed Warm Pools. By using Warm Pools, the runtime of a Tuning step with 120 sequential jobs is reduced from 10h to 4h. Improving and evaluating the performance of a…

Sagemaker

8 min read

Fast and Scalable Hyperparameter Tuning and Cross-validation in AWS SageMaker
Fast and Scalable Hyperparameter Tuning and Cross-validation in AWS SageMaker
Sagemaker

8 min read

João Pereira

João Pereira

45 Followers

Senior Data Scientist @ adidas Amsterdam www.joao-pereira.pt

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