Xiangxiang Meng
Xiangxiang Meng, PhD, is a former Senior Product Manager at SAS. The focus of his latest work while at SAS was on deep learning, computer vision, SAS® Visual Statistics, the Python interface to SAS Cloud Analytic Services, and other new product initiatives. Previously, Xiangxiang worked on SAS® LASR™ Analytic Server, SAS® In-Memory Statistics for Hadoop, SAS Recommendation Systems, and SAS® Enterprise Miner™. His research interests include deep learning and reinforcement learning, automated and cognitive pipelines for business intelligence and machine learning, and parallelization of machine learning algorithms on distributed data. Xiangxiang received his PhD and MS from the University of Cincinnati.
By This Author
SAS® Viya®: The R Perspective
By Yue Qi, Kevin D. Smith, and Xiangxiang Meng
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.
Want to be among the first to experience SAS® Viya?
Apply to be considered for a free trial of SAS® Visual Data Mining and Machine Learning.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
SAS® Viya®: The Python Perspective
By Kevin D. Smith and Xiangxiang Meng
This book is an introduction to using Python to drive SAS Viya by directly connecting to the back-end analytics engine: CAS. CAS (Cloud Analytic Services) is a fault-tolerant, high-performance analytic platform that can be installed in many environments (desktop, computing grid, cloud). It is used by various SAS applications, but also has an API accessible from languages such as Java and Python.
Want to be among the first to experience SAS® Viya?
Apply to be considered for a free trial of SAS® Visual Data Mining and Machine Learning.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Featured Authors
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.