Date: Feb 26th, Tuesday
Time: 11:45 am
Place: Little 339 (the Atrium)
Speaker: SHIBDAS BANDYOPADHYAY
(Dept. of Computer and Information Science and Engineering)
 

Title:
Data Classification Using Support Vector Machine.
　

Abstract:
Support Vector Machine is one of the most popular
techniques for data classification and predication. This
talk will start with an introduction to machine learning and
describe the fundamental problem. Statistical machine learning
will be introduced next and the position of support vector
machine as a learning technique will be established. We will
then look at the various parameters of the support vector
machine and how they can be tuned to minimize classification
error.




The pizza and drinks will be provided after the talk.