Michael I. Jordan: Machine Learning: Dynamical, Stochastic & Economic Perspectives

2019 Purdue Engineering Distinguished Lecture Series presenter Dr. Michael I. Jordan While there has been significant progress at the interface of statistics and computer science in recent years, many fundamental challenges remain. Some are mathematical and algorithmic in nature, such as the challenges associated with optimization and sampling in high-dimensional spaces. Some are statistical, including the challenges associated with multiple decision-making. Others are economic in nature, including the need to cope with scarcity and provide incentives in learning-based two-way markets. Jordan's seminar present recent progress on each of these fronts. Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences. Full Abstract and Bio: http://bit.ly/jordan-seminar More on this lecture series: http://bit.ly/DistinguishedLectureSeries SUBSCRIBE TO PURDUE ENGINEERING: Subscribe to our channel: http://bit.ly/subscribe-engr-youtube For the latest news, visit: http://engineering.purdue.edu/News Like us on Facebook:   / purdueengineering   Follow us on Twitter:   / purdueengineers   Heart us on Instagram:   / purdueengineers   Contact: Erin Easterling, Digital Producer at [email protected] Known as the “Cradle of Astronauts,” Purdue University's College of Engineering’s long list of pioneers includes Neil Armstrong and Amelia Earhart. Purdue Engineering is among the largest in the United States and includes 13 academic programs and ranked Top 10 nationwide by U.S. News and World Report. #purdue #michaelijordan #engineering