AWS Personalize Alternatives

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

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.

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

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

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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

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

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Obtains details of a cached recommendation.

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

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

Train custom ML models with minimum effort and expertise

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