Quick start: Build a model using SPSS Modeler.

IBM Cloud Pak for Data as a Service. (n.d.). Quick start: Build a model using SPSS Modeler. IBM Documentation. https://www.ibm.com/docs/en/watsonx/saas?topic=models-build-model-spss-modeler

This technical guide, provided by the IBM Cloud Pak for Data as a Service documentation, offers a structured approach to building predictive models using the SPSS Modeler tool. The purpose of this resource is to facilitate a "quick start" for data scientists and business analysts who need to deploy machine learning models within a cloud-based environment. The guide outlines the end-to-end workflow, beginning with data ingestion and ending with the evaluation of model performance. It emphasizes the user-friendly, drag-and-drop interface of SPSS Modeler, which allows users to perform complex data transformations and algorithmic selections without extensive coding requirements. The documentation highlights how this tool integrates with the broader IBM Watson ecosystem, enabling collaborative data science projects across an organization. By providing clear, actionable steps, the guide aims to reduce the barrier to entry for utilizing advanced analytics, ultimately helping businesses derive faster insights from their proprietary data sets while maintaining governance and compliance standards.