Google CLOUD AUTOML Alternatives

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

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

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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.

Open Source

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

Open Source

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

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.

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

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

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

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.

Integrate a broad variety of ML model types into your app

Obtains details of a cached recommendation.

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.

Open Source