Utility Analytics 201
This training introduces ML, including the concepts of exploratory data analysis, supervised learning (classification and regression), and unsupervised learning (dimensionality reduction and clustering). Participants will apply concepts through guided, hands-on activities.
Dean F. HougenAssociate Director & Associate Professor, OSU School of Computer Science
Professor Dean F. Hougen is the Associate Director of and an Associate Professor in the School of Computer Science, a member of the faculty steering committee for the Data Science and Analytics program, and a member of the graduate faculty in the School of Electrical and Computer Engineering, all in the Gallogly College of Engineering at the University of Oklahoma. Dr. Hougen has a PhD in Computer Science and Engineering from the University of Minnesota, with a graduate minor in Cognitive Science, and a BS in Computer Science from Iowa State University with minors in Philosophy and Mathematics. His primary research involves robotics and machine learning, focusing on distributed, heterogeneous, multi- agent robotic systems and situated learning in real robotic systems, including reinforcement learning, connectionist learning, and evolutionary computation. He has also worked in the areas of expert systems, decision support systems, geographic information systems, mobile software, and user interfaces. Dr. Hougen has collaborated on grant and contract awards of nearly $7M since coming to OU in 2001 and has authored more than 100 refereed publications in the areas of artificial intelligence, machine learning, robotics, data compression, computer science and engineering education, ethics, and others during his career. He has a thirty-year history of developing fielded software and hardware systems including OU’s first official iPhone application OU2GO in Summer 2009.