IEEE Computer Society. Machine Learning Presentation (DeVry JUNE 6 2017)
|May 24, 2017||Posted by Alberto Tam Yong under CS, General||
IEEE Foothill Section Computer Society Chapter Meeting
Tuesday June 6, 2017
DeVry University Pomona
Room 210 (40 seats available, RSVP required)
901 Corporate Center Dr., Pomona, CA 91768
Free parking available around the building, located near the intersection of the I-10 & 57 Freeways; see link for directions.
7:00 P.M. – 7:20 P.M. Networking – Pizza & soda provided
7:20 P.M. – 7:30 P.M. Announcements/Intros – Bill Grist, Computer Society Chair
7:30 P.M. – 8:45 P.M. Presentation/Lecture
8:45 P.M. – 9:00 P.M. Questions & Answers
Topic: Machine Learning
Speaker: Brad Morantz, Ph.D.,
IEEE Computer Society Phoenix Chapter
“Machine learning” is a very hot topic. But what does it mean? What is it really? How is it accomplished? How does it affect us? Did we enroll R2D2 in college? This presentation will define machine learning and explain what it means and how it is applied in both the research and the applied practitioner worlds.
This subject has been given as a one or two semester course at various schools and universities. It could be far more than this because of the basic statistics and underlying mathematics. This lecture will cover the basic principles and definitions of the various aspects of machine learning. Explanation of each current type will be discussed. Some methods and example applications will be covered. Some of the subjects that will be explained are: Data mining, various clustering methods, self organizing maps, model building, decision trees, Bayesian learning, and supervised vs. unsupervised training. These will be explained relative to the definitions given.
About the Speaker
Dr. Morantz has a B.S. in C.I.S. and E.E., a M.S. and Ph.D. in Decision Science, a mixture of mathematical science, psychology, and computer science. He has additional post doctoral course work in Computational BioScience, Computer Science, statistical design methodology, and Design Analysis Simulation Experiments (DASE). Dr. Morantz has published and presented on neural networks, multiprocessing mathematics, biologically inspired computing architecture, data-mining, and intelligent decision making. His current research is in biologically inspired computing for intelligent decision making. He is currently Sr Staff Scientist for Bluemont Technology & Research, Inc of McLean VA. He is also on the editorial board of the International Journal of Data Mining, Modeling, and Management. Regarding IEEE, he is a senior IEEE member and Vice Chair of the Phoenix IEEE Computer Society. He is also a member of the IEEE Computational Intelligence Society and his website is www.machine-cognition.com
All Students & the Public Are Welcome to Attend
Event Sponsored by
DeVry University – www.devry.edu
IEEE Foothill Section – www.ieee-foothill.
Please RSVP at
RSVP no later than 2pm on June 6, 2017