Amazon Forecast
Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
Amazon Forecast Alternatives
The best Amazon Forecast alternatives based on verified products, community votes, reviews and other factors.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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Get proxy servers featuring IPv4, HTTP/HTTPs, and SOCKS4/5 protocols. Choose from static and rotating IP addresses. ProxyCompass is here to support your business around the clock.
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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.
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Real-time personalization and recommendation engine in AWS
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python-recsys is a python library for implementing a recommender system.
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
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Obtains details of a cached recommendation.
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GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.
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WEKA is a set of powerful data mining tools that run on Java.
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Train custom ML models with minimum effort and expertise
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XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
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Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
