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

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WEKA Alternatives [Page 3]

The best WEKA alternatives based on verified products, votes, reviews and other factors.
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  1. Pattern Recognition Toolbox provides pattern classification tools for MATLAB.

  2. SuperLearner is a R package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

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

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

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

  6. 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.

  7. Obtains details of a cached recommendation.

  8. Train custom ML models with minimum effort and expertise

  9. KNIME, the open platform for your data.

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

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

  12. The safest and most minimalistic smart lock