Amazon SageMaker Examples
latest

Get started

  • Introduction to applying machine learning
  • Training
  • Inference

Featured examples

  • Get started with Studio
  • Framework examples
  • Model compilation with Neo
  • Bring your own container to Studio

Autopilot

  • Get started with Autopilot
  • Feature selection
  • Model explainability

Preprocessing

  • Preprocessing by data type
  • Ground Truth

Training

  • Algorithms
  • Bring your own container
  • Data types
  • Debugger
  • Distributed Training
  • Experiments
  • Frameworks
  • Hyperparameter tuning
  • Management features
  • Reinforcement learning

Inference

  • Batch transform
  • Bring your own container
  • Data types
  • Model Compilation with Neo
  • Model deployment
  • Model monitor

Frameworks

  • Apache MXNet
  • Deep Graph Library
  • PyTorch
  • R
  • Scikit-learn
  • TensorFlow

Workflows

  • Processing
  • Spark
  • Step Functions

Advanced examples

  • Science of ML
    • LDA
      • A Scientific Deep Dive Into SageMaker LDA
      • Introduction
      • Setup
      • Data Exploration
      • Training
      • Inference
      • Epilogue
    • Linear learner
      • Build multiclass classifiers with Amazon SageMaker linear learner
      • Train faster, more flexible models with Amazon SageMaker Linear Learner
    • Neural topic modeling (NTM)
      • Amazon SageMaker Neural Topic Model now supports auxiliary vocabulary channel, new topic evaluation metrics, and training subsampling
      • Conclusion
    • Streaming median
      • Streaming Algorithms in Machine Learning
  • AWS Marketplace

Community examples

  • Contributions
Amazon SageMaker Examples
  • Docs »
  • Science of ML
  • Edit on GitHub

Science of ML¶

LDA¶

  • A Scientific Deep Dive Into SageMaker LDA
  • Introduction
  • Setup
  • Data Exploration
  • Training
  • Inference
  • Epilogue

Linear learner¶

  • Build multiclass classifiers with Amazon SageMaker linear learner
  • Train faster, more flexible models with Amazon SageMaker Linear Learner

Neural topic modeling (NTM)¶

  • Amazon SageMaker Neural Topic Model now supports auxiliary vocabulary channel, new topic evaluation metrics, and training subsampling
  • Conclusion

Streaming median¶

  • Streaming Algorithms in Machine Learning
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