Data Scientist, SAS
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.
By This Author
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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- Curt Hinrichs has been with the JMP Division of SAS since 2006 and is Senior Manager of JMP Academic Programs.
- Chuck Boiler is the U.S. Systems Engineer Manager for JMP, a business unit of SAS.
- A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.