Amazon SageMaker | FutureHurry
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Main Purpose

Amazon SageMaker is a fully-managed service that enables developers and data scientists to build, train, and deploy machine learning models quickly.

Key Features

  • Data Labeling and Preparation: SageMaker provides tools to label and prepare data for machine learning models.
  • Algorithm Selection: Users can choose from a wide range of built-in algorithms or bring their own custom algorithms.
  • Model Training and Tuning: SageMaker simplifies the process of training and tuning machine learning models.
  • Model Deployment: Once trained, models can be deployed and scaled automatically using SageMaker.
  • Integration with AWS Services: SageMaker integrates with other AWS services such as S3, EC2, and CloudWatch.

Use Case

  • Predictive Analytics: SageMaker can be used to build models for advanced analytics on customer data.
  • Security Threat Detection: It can also be used for back-end security threat detection.
Pricing Model:

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