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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Open Source

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

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Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

The Bing Image Search API adds a host of image search features to your apps including trending images. Test the image API with our online demo.

Integrate news search functionality into your apps with the Bing News Search API from Microsoft Azure. Try the news API online to see it in action.

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

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Real-time personalization and recommendation engine in AWS

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WEKA is a set of powerful data mining tools that run on Java.

python-recsys is a python library for implementing a recommender system.

Open Source

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

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Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

Open Source

ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.

Open Source