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 Data Science Experience 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. Data Science Experience 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 Data Science Experience 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).
Watch this video to see how to get started by provisioning the necessary services in IBM Cloud.
Watch this video to see how to create a project in IBM Data Science Experience and set it up to use Watson Machine Learning.