Automatic Machine Learning (AutoML) Infrastructure — Oracle Data Science Cloud Service

In this article, I will talk about AutoML, one of the features that come with the Oracle Cloud Data Science Service, and I hope it will be a useful article in terms of awareness.

As it is known and mentioned in my previous articles, Oracle recently added a new service called Data Science to cloud services. This service has been offered to users as a platform where many libraries come pre-installed. This platform, which includes many features like prototype development, project development, model management, to the production of produced models, contains many new features. Undoubtedly, one of the most interesting and useful features is the AutoML feature.

Learn TensorFlow: Vectors

TensorFlow

TensorFlow is an open-source library that was developed by the Google Brain team, and it was released in November 2015. Before working with TensorFlow, we need to understand the following basic concepts:

  • Graph: Layout of the learning process. It does not include data.
  • Data: Examples that are used to train. It has two kinds, which are inputs and targets.
  • Session: Where we feed the graph with data or Session = Graph + Data. We can do this by using placeholders — gates to introduce examples.

We can install Anaconda to use TensorFlow.