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Amazon ML Services: A Deep Dive Into AWS SageMaker

Written by @manishmshiva | Published on 2020/1/10

TL;DR
Amazon's AWS SageMaker is a fully managed service that enables developers to build, train, test and deploy machine learning models at scale. SageMaker Studio is a feature-rich integrated development environment (IDE) for machine learning. Ground Truth uses pre-trained models to automatically label your raw data, significantly reducing the time and effort required to create labeled datasets. Debugger captures real-time metrics during the training process and provides recommendations on best practices for best-practice best-practices for best practices.

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Written by
@manishmshiva
AI Engineer and Product Manager. Building turingtalks.ai.

Topics and
tags
machine-learning|aws|deep-learning|data-science|amazon-web-services|artificial-intelligence|aws-sagemaker|ai
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: fEhfI_OsRGqcwYUI0oc1rfu7YT_ZXWq4wkPijsZFZs8