Introduction

This book describes the data mining and machine learning procedures that are available in SAS Visual Data Mining and Machine Learning. These procedures provide data mining and machine learning algorithms that have been specially developed to take advantage of the distributed environment that the SAS Viya platform provides. Supervised learning methods that are available include forest and gradient boosting models, neural networks, support vector machines, and factorization machines. Procedures for scoring via an analytic store and for text mining are also included.

In addition to the data mining and machine learning procedures described in this book, SAS Visual Data Mining and Machine Learning provides procedures for sampling, data exploration, clustering, dimension reduction, model assessment, and additional supervised learning, which are described in SAS Visual Statistics: Procedures.