Amazon SageMaker

Amazon SageMaker enables developers and data scientists to easily build ML models.

What is Amazon SageMaker?

Amazon SageMaker is a fully managed service that allows developers and data scientists to build, train, and deploy machine learning (ML) models much faster and efficiently for your specific use cases. Relying on a single toolset, SageMaker makes the steps of the machine learning process more seamless, resulting in developing higher quality models, faster time to production, and significant cost savings.

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Collection and Preparation of Training Data:

  • Easy data source connecting for the preparation of data and creation of model features
  • Provides developers with deeper visibility into training data and models
  • Comprehensive security features that support a wide range of industry regulations
  • Rapid data labeling with custom or built-in workflows
  • Scalability and reliability for data processing workloads

Training and Tuning Models:

  • Track, store, manage, browse, and compare iterations to ML models called “experiments”
  • Debugging and profiling features enable simplified performance problem correcting
  • Managed Spot Training can reduce cost associated with training jobs by up to 90%
  • Automatic Model Tuning allows for easy algorithm parameter adjustment for the most accurate predictions, and significant time savings
  • One-click model training
  • Distributed training features can split data across multiple GPUs with automatic profiling and partitioning of models

Deploying Models to Production:

  • Fully automated CI/CD workflows for the entirety of the ML lifecycle
  • Automatic and continuous model monitoring with alerting
  • Built-in human review workflows
  • Batch Transform uses a simple API and allows users to run predictions on larger and smaller batch datasets without resizing
  • Kubernetes Integration
  • One-click production deployment
  • Deploy large numbers of machine learning models with Multi-Model endpoints in a scalable and cost-effective manner