Principal Analytical Training Consultant, SAS
Michael Patetta has been a statistical instructor for SAS since 1994. He teaches a variety of courses including Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio, Predictive Modeling Using Logistic Regression, Introduction to Data Science Statistical Methods, and Regression Methods Using SAS Viya. Before coming to SAS, Michael worked in the North Carolina State Health Department for 10 years as a health statistician and program manager. He has authored or co-authored 10 published papers since 1983. Michael has a BA from the University of Notre Dame and a MA from the University of North Carolina at Chapel Hill. In his spare time, he loves to hike in National Parks.
By This Author
Introduction to Statistical and Machine Learning Methods for Data Science
This book provides a comprehensive overview of the statistical and machine learning techniques associated with data science initiatives. You will learn the most important techniques and methods related to data science and when to apply them for different business problems.
"We've all heard the term "Data Science," but what does it mean? Obviously, it involves both data and science, but doesn't everything? Yes! But it's not as easy as it sounds. Luckily, the authors of this book have swept in to rescue us from this modern-day thought paradox by gently walking us through the maze of research, development, theory, and application that is the world of machine learning and data science. Geared to anyone interested in learning more about this intricate study, this book will help answer your most pressing questions, while opening up the doors of possibility to many more. A must-have for the desk of anyone even remotely involved in research!"
Deanna (DeDe) Naomi Schreiber-Gregory, MS
Co-owner, Operations and Finance
Independent Consultant - Statistics & Data Management
- 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.