Machine Learning Techniques for Data-driven Modeling

Abstract

Deep learning techniques are playing more and more important roles in data analysis and data-driven models across a variety of fields. In this discussion, we present recent research topics and exchange research ideas on machine learning techniques for data-driven modeling with applications in cognition, medical disease prevention, and predictive analysis.

Presenters

Don Hong
Professor, Mathematical Sciences, Middle Tennessee State University, Tennessee, United States

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2023 Special Focus: Whose Intelligence? The Corporeality of Thinking Machines

KEYWORDS

Machine learning, Data-driven models, Cognition techniques, Predictive analysis