Support Vector Machines
published: Feb. 25, 2007, recorded: July 2006, views: 34295
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Support vector machines (SVM) and kernel methods are important machine learning techniques. In this short course, we will introduce their basic concepts. We then focus on the training and optimization procedures of SVM. Examples demonstrating the practical use of SVM will also be discussed. Basically we focus on classification. If time is allowed, we will also touch SVM regression.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !