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.
Introduction to Statistical and Machine Learning Methods for Data Science
By Carlos Andre Reis Pinheiro and Mike Patetta
Anticipated publication date: Second quarter 2021
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.
- 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.
- Len Tashman is the founding editor of Foresight: The International Journal of Applied Forecasting, now in its 10th year of publication
- Udo Sglavo is Vice President of Advanced Analytics at SAS Institute.
- Michael Gilliland is Product Marketing Manager for SAS forecasting software and author of The Business Forecasting Deal.