Oracle Data Science Cloud Service

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Oracle Data Science Cloud Service

Oracle recently released their Data Science Cloud Service, an environment for data science developers including a host of open source libraries.

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Oracle launched Data Science Cloud Service recently. This service, which can be used over the cloud, is actually a virtual machine and contains many pieces of open source software. With this service, it is aimed to develop a ready-made environment for developers interested in data science, machine learning and artificial intelligence, and to concentrate only on the tasks they are interested in.

Data Science Cloud interfaceThe interface of the Oracle Data Science Cloud service has the Jupyter Notebook interface that users are accustomed to and includes all the features in local installation.

Within the Oracle Data Science Cloud service, Anaconda, Jupyter Notebook, Tensorflow, Numpy, Pandas, Scikit-Learn, Keras and dozens of other Python are pre-installed. However, you can install different Python libraries you want in Oracle Data Science Cloud service from the terminal interface.

Oracle Data Science Cloud service is available with different hardware configurations.  You can see the hardware specifications available in the table below.

With the Data Science Cloud service, the tools that can be provisioned for AI, ML and Data Science are very useful and can be provisioned in minutes on Oracle Cloud.

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