Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. Customized solutions for Amazon SageMaker accelerate your ML journey by offering a dataset, AWS CloudFormation template, and reference architecture for common ML use cases so you can move quickly from concept to production with just a few clicks.

Customized Solutions for SageMaker

  • Industrial
  • Commercial
  • Consumer
  • Industrial
  • predictive-maintenance-using-machine-learning

    Predictive Maintenance

    Predict equipment component failure & take action to prevent failures

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    Demand Forecasting: Explainer

    Demand Forecasting

    Predict demand & streamline supply-demand decision-making

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  • Commercial
  • Fraud Detection: Webinar

    Fraud Detection

    Automate the detection of potentially fraudulent activity & remediate  

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    Fraud Detection in Financial Transaction Networks: Webinar

    Fraud Detection in Financial Transaction Networks

    Identify fraud in financial transaction networks & improve customer trust

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    Explaining Credit Decisions: Explainer

    Explaining Credit Decisions

    Explain individual predictions from a credit application to identify bias & satisfy regulatory requirements

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    Demand Forecasting: Explainer

    Demand Forecasting

    Predict demand & streamline supply-demand decision-making

    Get started »

  • Consumer
  • Demand Forecasting: Explainer

    Demand Forecasting

    Predict demand & streamline supply-demand decision-making

    Get started »

    Fraud Detection: Webinar

    Fraud Detection

    Automate the detection of potentially fraudulent activity & remediate  

    Get started »

    ArchitectureSagemakerBattlesnakeFull

    Reinforcement Learning

    Learn about reinforcement learning through the Battlesnake AI competition

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SageMaker Solutions from the Community

AWS Machine Learning Hero


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Agustinus Nalwan

Melbourne, Australia

Build an AI-enabled fashion assistant to automatically choose what outfit to wear

Deciding what to wear can be hard. AWS ML Hero, Agustinus Nalwan, built this AI-enabled fashion assistant using Amazon SageMaker to recommend clothes adjusted to weather conditions and personal fashion preferences.

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AWS Machine Learning Hero


Build a web application to perform Neural Style Transfer on images and GIFs

Learn how AWS ML Hero, Francesco Pochetti, uses Amazon SageMaker to train a neural network to learn styles from Van Gogh, Picasso, and Kandinsky from scratch.

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AWS Machine Learning Hero


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Pavlos Mitsoulis

London, United Kingdom

Build a hotel recommender designed for speed and scale

Discover how AWS ML Hero, Pavlos Mitsoulis, uses Amazon SageMaker to build a hotel recommender in a few simple steps.

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Discover Developer Resources

Learn how to quickly move from concept to production
Visit the resources page
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