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

Amazon SageMaker Examples

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