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Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise

Google CLOUD AUTOML Alternatives

The best Google CLOUD AUTOML alternatives based on verified products, votes, reviews and other factors.
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  1. Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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

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

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

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

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

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

  9. 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.

  10. python-recsys is a python library for implementing a recommender system.

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

  12. Obtains details of a cached recommendation.

  13. 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.

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This list was published on | Author: | Publisher: SaaSHub
Categories: Technical Computing, Data Dashboard, Numerical Computation