BANGALORE– Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), today announced Amazon Machine Learning, a fully managed service that makes it easy for any developer to use historical data to build and deploy predictive models. These models can be used for a broad array of purposes, including detecting problematic transactions, preventing customer churn, and improving customer support. Based on the same proven, highly scalable machine learning technology used by developers across Amazon to generate more than 50 billion predictions a week, Amazon Machine Learning’s APIs and wizards guide developers through the process of creating and tuning machine learning models that can be easily deployed and scale to support billions of predictions. Amazon Machine Learning is integrated with Amazon 

 Until now, very few developers have been able to build applications with machine learning capabilities because doing so required expertise in statistics, data analysis, and machine learning. In addition, the traditional process for applying machine learning involves many manual, repetitive, and error-prone tasks such as computing summary statistics, performing data analysis, using machine learning algorithms to train a model based on data, evaluating and fine tuning the model, and then generating predictions using the model.

 Amazon Machine Learning makes machine learning broadly accessible to all software developers by abstracting away this complexity and automating these steps. With Amazon Machine Learning, developers can use the AWS Management Console or APIs to quickly create as many models as they need, and generate predictions from them with high throughput without worrying about provisioning hardware, distributing and scaling the computational load, managing dependencies, or monitoring and troubleshooting the infrastructure. There is no setup cost, and developers pay as they go so they can start small and scale as an application grows.

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