COMS 4740/5740: Introduction to Machine Learning

Introduction to concepts, tools and techniques of machine learning for applications. Selected machine learning algorithms in practical data mining tasks such as classification, regression, and clustering, e.g., association rules, decision trees, linear models, Bayesian learning, support vector machines, artificial neural networks, instance-based learning, probabilistic graphical models, ensemble learning, and c lustering algorithms. Selected applications in data mining and pattern recognition.

Regis Kopper
Regis Kopper
Assistant Professor of Computer Science

My research interests include virtual reality (VR), augmented reality (AR) and extended reality (XR), user experience, training , Applied XR research in domains such as Public Safaty, Healthcare, and Nutrition