Wayne Thompson
Retired Manager of Data Science Technologies, SAS
Prior to his retirement, Wayne Thompson was the Manager of Data Science Technologies at SAS. He is one of the early pioneers of business predictive analytics, and he is a globally recognized presenter, teacher, practitioner, and innovator in the field of predictive analytics technology. He has worked alongside the world's biggest and most challenging companies to help them harness analytics to build high-performing organizations. Over the course of his 20-year career at SAS, he has been credited with bringing to market landmark SAS analytic technologies (SAS® Text Miner, SAS® Credit Scoring for SAS® Enterprise Miner™, SAS® Model Manager, SAS® Rapid Predictive Modeler, SAS® Scoring Accelerator for Teradata, SAS® Analytics Accelerator for Teradata, and SAS® Visual Statistics). His current focus initiatives include easy-to-use, self-service data mining tools for business analysts, deep learning and cognitive computing.
Wayne received his PhD and MS degrees from the University of Tennessee. During his PhD program, he was also a visiting scientist at the Institut Superieur d'Agriculture de Lille, Lille, France.
Discovering Data Science with SAS: Selected Topics
Foreword by Wayne Thompson
A free eBook containing a carefully selected collection of chapters from SAS Press books introducing the field of data science.
Topics covered illustrate the power of SAS solutions that are available as tools for data science, highlighting a variety of domains including data analysis planning, data wrangling and visualization, time series, neural networks, text analytics, decision trees and more.
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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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.
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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.