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Google CLOUD AUTOML Alternatives

The best Google CLOUD AUTOML alternatives based on verified products, community votes, reviews and other factors.
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  1. 26

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

  2. 24

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

  3. 25

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

  4. 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.

  5. 15

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

  6. 20

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

  7. 15

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

  8. 12

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

  9. 14

    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.

  10. 11

    Integrate a broad variety of ML model types into your app

  11. 11

    RStudio™ is a new integrated development environment (IDE) for R.

  12. 12

    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.

  13. Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.


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