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Gerhard Svolba
Advisory Pre-Sales Solutions, SAS
Gerhard Svolba, PhD is an Advisory Pre-Sales Solutions Architect at SAS Institute Inc. in Austria, where he specializes in Analytics and customer intelligence. His project experience ranges from conceptual considerations (both business and technical) to data preparation and analytic modeling.
“Rosetta Stone” — The most important text sample in history and the role of labeled data in machine learning
By This Author
Applying Data Science: Business Case Studies Using SAS®
By Gerhard Svolba
In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code.
Data Quality for Analytics Using SAS®
By Gerhard Svolba
This book focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. Readers will learn how to use SAS to perform advanced profiling of data quality status and how SAS can help improve data quality.
Data Preparation for Analytics Using SAS®
By Gerhard Svolba
Text addresses such tasks as: viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, and using SAS procedures for scoring.
Featured Authors
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Russell D. Wolfinger, Ph.D. is Director of Scientific Discovery and Genomics at SAS Institute, where he has worked since 1989
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Elizabeth A. Claassen, PhD, is Senior Associate Research Statistician Developer in the JMP division of SAS. Dr. Claassen has 9 years’ experience with SAS software and 5 years’ experience with JMP. Her chief interest is generalized linear mixed models, and she brings to this work her expertise with SAS GLM, MIXED, GLIMMIX, and NLMIXED procedures for linear models. Dr. Claassen earned an MS and PhD in statistics from the University of Nebraska–Lincoln, where she received the Holling Family Award for Teaching Excellence from the College of Agricultural Sciences and Natural Resources.
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Ruth M. Hummel, PhD, is a Senior Manager of Analytical Education at SAS. Dr. Hummel develops curricula, teaches, and consults to help researchers and practitioners apply statistical methods and analytics to solving problems, predominantly in the health and life sciences.
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Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute.