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Top 15 products relevant to Data Science And Machine Learning, Data Science Tools, and Technical Computing

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

    /bigml-alternatives
  2. Train custom ML models with minimum effort and expertise.

    /google-cloud-automl-alternatives
  3. Do you want to do machine learning using Python, but youโ€™re having trouble getting started? In this post, you will complete your first machine learning project using Python.

    /machine-learning-in-python-alternatives
  4. Real-time personalization and recommendation engine in AWS.

    Open Source

    /aws-personalize-alternatives
  5. Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

    /aws-sagemaker-ground-truth-alternatives
  6. Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

    Open Source

    /google-cloud-tpu-alternatives
  7. python-recsys is a python library for implementing a recommender system.

    Open Source

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

    Open Source

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

    /amazon-forecast-alternatives
  10. Rackspace server host Jupyter Notebooks from your github repo.

    /nbviewer-org-alternatives
  11. Crab is a Python framework for building recommender engines.

    /crab-alternatives
  12. Obtains details of a cached recommendation. .

    /microsoft-recommendations-api-alternatives
  13. Unity is the ultimate game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.

    Open Source

    /unity-machine-learning-alternatives
  14. Algorithms arenโ€™t the bottlenecks. Itโ€™s data. Develop data to get better quality in shorter time with refinery. Build your AI training data in hours, not months.

    Open Source

    /kern-ai-refinery-alternatives
  15. Run code interactively, inspect data, and plot.

    /hydrogen-of-nteract-alternatives

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