Demystifying Machine Learning for Packaging Problems

Demystifying Machine Learning for Packaging Problems
Presenters: Professor Madhavan Swaminathan and Hakki Mert Torun
3D Systems Packaging Research Center (PRC) | Georgia Tech
Overview: This tutorial will cover the fundamentals of machine learning as it relates to Artificial Neural Networks (ANN) and Bayesian Learning with a focus on problems arising in packaging. Rather than delve into mathematical formulations we will explain important concepts and the reasoning behind them, thereby demystifying the application of machine learning to these problems. We will also share some recent developments in this area in the context of packaging along with links to open-source downloadable software for some of the methods discussed. Though all the problems discussed are design related they can be applied in other areas as well.