Top 5 AWS ML Sessions to Attend at AWS re:Invent 2021

AI Technical Computing Data Science And Machine Learning

AWS SageMaker Ground Truth Landing Page

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AWS SageMaker Ground Truth

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

In this session you will discover how to use Amazon SageMaker to prepare data for machine learning in minutes. SageMaker provides data preparation tools that make it easier to label, prepare, and analyse your data. Walk through a complete data-preparation workflow, including how to use SageMaker Ground Truth to label training datasets, as well as how to extract data from numerous data sources, convert it using SageMaker Data Wrangler's prebuilt visualisation templates, and construct model features. Learn how to use SageMaker Feature Store to establish a repository for storing, retrieving, and sharing features to increase productivity.

#Data Science And Machine Learning #Data Labeling #AI 3 social mentions
Amazon SageMaker Landing Page

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Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Learn how to use Amazon SageMaker to create a whole machine learning project from start to finish in this workshop. With SageMaker Data Wrangler, get started with data exploration and analysis, data purification, and feature engineering. After that, save features in SageMaker Feature Store, extract features for training with SageMaker Processing, train a model with SageMaker training, and finally deploy it with SageMaker hosting. Learn to utilise SageMaker Studio as an IDE and SageMaker Pipelines to orchestrate the machine learning workflow.

#Data Science And Machine Learning #Data Science Tools #Machine Learning 36 social mentions