Yue Qi, PhD, was formerly a staff scientist at SAS. He worked on automated and adaptive machine learning pipelines, deep learning models on unstructured data, interactive data visualization, and open-source language integration. He has extensive experience in applying these technologies to develop analytics products, build successful models on big data for customers, and help customers solve their most challenging business problems, especially in the finance industry.
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SAS® Viya®: The R Perspective
SAS® Viya®: The R Perspective is a general-purpose introduction to using R with the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. This book introduces an entirely new way of using SAS statistics from R, taking users step-by-step from installation and fundamentals to data exploration and modeling.
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- Michael Patetta has been a statistical instructor for SAS since 1994. He teaches a variety of courses including Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio, Predictive Modeling Using Logistic Regression, Introduction to Data Science Statistical Methods, and Regression Methods Using SAS Viya.
- Neil Constable was a Principal Education Consultant at SAS Institute in the United Kingdom, where he has worked since 2002.
- K. Matthew Windham, CAP is the director of analytics at NTELX Inc., an analytics and technology solutions consulting firm located in the Washington, DC area.
- Sanjay Matange is Research & Development Director in the Data Visualization Division at SAS, where he is responsible for the development and support of ODS Graphics software.