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Автор: Robert N. Rodriguez
Издательство: SAS Institute Inc.
Год: 2023
Страниц: 464
Язык: английский
Формат: pdf (true)
Размер: 17.7 MB
Advance your skills in building predictive models with SAS! Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. Machine Learning has created a new divide for the practice of statistics, which relies heavily on data from well-designed studies for modeling and inference. Statistical methods now vie with algorithms that learn from large amounts of observational data. This book assumes you know the basics of regression analysis. It uses standard matrix notation for regression models but explains the concepts and methods behind the procedures without mathematical derivations. For readers who want to dive into the technical aspects of concepts and algorithms, explanations are given in appendices which use calculus and linear algebra at the level expected by master of science programs in Data Science and statistics.