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
Predict equipment component failure & take action to prevent failures
Demand Forecasting: Explainer -
Commercial
-
Fraud Detection: WebinarFraud Detection in Financial Transaction Networks: Webinar
Fraud Detection in Financial Transaction Networks
Identify fraud in financial transaction networks & improve customer trust
Explaining Credit Decisions: ExplainerExplaining Credit Decisions
Explain individual predictions from a credit application to identify bias & satisfy regulatory requirements
Demand Forecasting: Explainer -
Consumer
-
Demand Forecasting: ExplainerFraud Detection: Webinar
Reinforcement Learning
Learn about reinforcement learning through the Battlesnake AI competition
SageMaker Solutions from the Community
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.
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.
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.
Additional Resources
Discover Developer Resources