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
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.
SAS® Viya®: The Python Perspective
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.