published: Oct. 12, 2011, recorded: September 2011, views: 16005
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.
The course will start with basic ideas of machine learning, followed by some elements of learning theory. It will also introduce positive definite kernels and their associated feature spaces, and show how to use them for kernel mean embeddings, SVMs, and kernel PCA.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !