Manager of Data Science Technologies, SAS
Wayne Thompson is 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.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.