Software Alternatives & Reviews

Microsoft Machine Learning Server

Develop machine learning models and scripts in Python and R for on-premises deployment behind the firewall. R Server, Python server, packages, and interpreters are included.

Microsoft Machine Learning Server Alternatives

The best Microsoft Machine Learning Server alternatives based on verified products, community votes, reviews and other factors.

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

    Open Source

    /scikit-learn-alternatives
  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.

    /machine-learning-in-python-alternatives
  3. Elegant user management, tailor-made for B2B SaaS

    Try for free freemium

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

    Open Source

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

    /amazon-forecast-alternatives
  6. Real-time personalization and recommendation engine in AWS

    Open Source

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

    Open Source

    /golearn-alternatives
  8. python-recsys is a python library for implementing a recommender system.

    Open Source

    /python-recsys-alternatives
  9. WEKA is a set of powerful data mining tools that run on Java.

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

    Open Source

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

    /crab-alternatives
  12. XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

    Open Source

    /xgboost-alternatives
  13. BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

    /bigml-alternatives
  14. /microsoft-recommendations-api-alternatives
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