Amazon SageMaker Examples
get_started_updates
  • Introduction to Amazon SageMaker

SageMaker Studio

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

SageMaker End-to-End Examples

  • Fraud Detection System
  • Music Recommender
  • Understanding Trends in Company Valuation with NLP

Patterns

  • The ML Gateway Pattern

SageMaker Use Cases

  • Music Streaming Service: Customer Churn Detection
  • Fleet Predictive Maintenance
  • E-Commerce Personalization
  • Computer Vision for Medical Imaging
  • Pipelines with NLP for Product Rating Prediction

Autopilot

  • Get started with Autopilot
  • Feature selection
  • Model explainability

Ingest Data

  • Get started with data ingestion
  • Athena
  • EMR
  • Redshift
  • Amazon Keyspaces (for Apache Cassandra)

Label Data

  • Ground Truth

Prep Data

  • Get started with data prep
  • Detect pre-training data bias
  • Image data guide
  • Tabular data guide
  • Text data guide

Feature Store

  • Get started with SageMaker Feature Store

Frameworks

  • Frameworks and Libraries
  • Apache MXNet
  • Deep Graph Library
  • PyTorch
  • R
  • Scikit-learn
  • TensorFlow
  • JAX

Training

  • Algorithms
  • Reinforcement Learning
  • Experiments
  • Debugger
  • Tuning
  • Distributed Training
  • Training Compiler
  • Script Mode
  • Bring Your Own Container
  • Management Features

Inference

  • Deploy Models with SageMaker
  • Batch transform
  • Bring your own container
  • Data types
  • Model Compilation with Neo
  • Model deployment
  • Model monitor
  • Multi-Model Deployment
  • Nvidia Triton Inference

Workflows

  • Get started with SageMaker Pipelines
  • Processing
  • Spark
  • Step Functions

Advanced examples

  • SageMaker Clarify
  • Science of ML
  • AWS Marketplace

Community examples

  • Contributions
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