Lectures and seminars Seminar: Introduction to Machine Learning and AI Using Stata
Welcome to a seminar with Chuck Huber on "Introduction to Machine Learning and AI Using Stata"! The seminar is open to everyone interested in the topic. Registration is not required and it is free of charge. The seminar is in-person only and will not be broadcast remotely.
Abstract
This talk will briefly review the concepts and jargon of machine learning (ML) and artificial intelligence (AI), and demonstrate how to use these tools in Stata. Specific examples will include random forests and gradient boosting machines using Stata's suite of h2oml commands, and the user-written commands "chatgpt", "claude", "gemini", and "grok".
About the Speaker
Chuck Huber is Director of Statistical Outreach at StataCorp LLC and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at the New York University School of Global Public Health. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.
Hosts
Paul Dickman, Karolinska Institutet and Samuel Mossberg, Metrika Consulting