Mike Patetta
Principal Analytical Training Consultant, SAS

Michael Patetta was a statistical instructor for SAS from 1994 until his retirement in 2021. He taught 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.

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Mike Patetta | SAS Support

Introduction to Statistical and Machine Learning Methods for Data Science

By Carlos Andre Reis Pinheiro and Mike Patetta

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.

"A comprehensive and nifty book that takes the reader through the analytics lifecycle, discussing many data science methods, statistical approaches and machine learning techniques. The variety of case studies and tips along the way enhances your knowledge and capability, forming a practical understanding of data science". 

Michelle Homes, Metacoda