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AWS Personalize

Real-time personalization and recommendation engine in AWS

AWS Personalize Alternatives

The best AWS Personalize alternatives based on verified products, votes, reviews and other factors.
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  1. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

  2. 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.

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

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

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

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

  7. IBM Watson Machine Learning Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.

  8. Obtains details of a cached recommendation.

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

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

  11. Train custom ML models with minimum effort and expertise

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

  13. Friendly machine learning for the web

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Dashboard, Data Science And Machine Learning, Technical Computing