machine-learning-samples
Sample applications demonstrating how to use AWS Amazon Machine Learning for targeted marketing, social media filtering, and mobile predictions.
What is machine-learning-samples?
Amazon Machine Learning Samples is a collection of example applications demonstrating how to use AWS's Amazon Machine Learning service for various real-world scenarios. It provides working code samples for implementing machine learning workflows including targeted marketing campaigns, social media content filtering, and mobile prediction systems. The repository helps developers learn how to integrate Amazon ML with other AWS services like Lambda, Kinesis, and Mechanical Turk.
AWS developers and data scientists who want to implement machine learning solutions using Amazon Machine Learning service. It's particularly useful for those building marketing analytics systems, social media monitoring tools, or mobile applications with ML capabilities.
These samples provide production-ready examples that demonstrate best practices for integrating Amazon ML with other AWS services, saving developers time and reducing the learning curve. The multi-language support (Java, Python, Scala, JavaScript) and diverse use cases make it a comprehensive learning resource for AWS machine learning implementations.
Overview
Sample applications built using AWS' Amazon Machine Learning.
Use Cases
Best For
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