IBM Watson Machine Learning is a full-service IBM Cloud offering that makes it easy for data scientists and developers to work together to integrate predictive analytics with their applications. IBM Cloud enables organizations and developers to quickly and easily create, deploy, and manage applications on the cloud.

The focus of IBM Watson Machine Learning on IBM Cloud service is deployment. IBM SPSS Modeler or IBM Watson Studio is required to build models. IBM SPSS Modeler is a powerful, versatile data mining workbench that helps you build predictive models quickly and intuitively, without programming. Watson Studio enables you to analyze data using RStudio, Jupyter, and Python in a configured, collaborative environment that includes IBM value-adds, such as managed Spark and IBM Watson Machine Learning.

Both IBM SPSS Modeler and IBM Watson Studio offer various modeling methods that are not only taken from the field of machine learning, but also from the fields of artificial intelligence and statistics. All these modeling methods are included in IBM Watson Machine Learning (and thus, IBM Watson Machine Learning Machine is not confined to modeling methods known as “machine learning” models in the literature).

Provision the IBM Cloud services

Watch this video to see how to get started by provisioning the necessary services in IBM Cloud. Use this method if you will be using Watson Machine Learning through the command line or Python Client Libraries.

Sign up for a free trial of IBM Watson Studio

Watch this short video to see how to sign up for a free trial.

Create an IBM Watson Studio project to use Watson Machine Learning

Watch this video to see how to create a project in IBM Watson Studio and set it up to use Watson Machine Learning.

For IBM Watson Studio, click here to sign up for a free trial, and here to watch the Getting Started video.

For IBM SPSS Modeler, click here to sign up for a free trial.

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