Amazon ML Services: A Deep Dive Into AWS SageMaker

Written by manishmshiva | Published 2020/01/10
Tech Story Tags: machine-learning | aws | deep-learning | data-science | amazon-web-services | artificial-intelligence | aws-sagemaker | ai

TLDR 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.via the TL;DR App

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Written by manishmshiva | I write code, manage servers and lead teams to build useful products. Skilled in AI and Cybersecurity. Loves Whiskey.
Published by HackerNoon on 2020/01/10