Software Alternatives & Reviews

BigML

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

BigML Alternatives

The best BigML alternatives based on verified products, community votes, reviews and other factors.
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  1. 31

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

  2. 29

    RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

  3. 26

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

  4. 28

    Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

  5. 26

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

  6. 22

    Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

  7. 22

    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.

  8. 23

    TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

  9. 25

    Train custom ML models with minimum effort and expertise

  10. 17

    IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.

  11. 13

    A high-level language and interactive environment for numerical computation, visualization, and programming

  12. 15

    Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

  13. 20

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Author: | Publisher: SaaSHub
Categories: Technical Computing, Data Science And Machine Learning, Numerical Computation