Learning with Gaussian Processes

author: Carl Edward Rasmussen, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Feb. 5, 2008,   recorded: January 2008,   views: 50407


Related Open Educational Resources

Related content

Report a problem or upload files

If 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.
Lecture popularity: You need to login to cast your vote.

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 55:30
Watch Part 2
Part 2 1:14:49


This presentation describes the basic foundations and advanced theory of Gaussian processes.

See Also:

Download slides icon Download slides: epsrcws08_rasmussen_lgp_01.pdf (1.1 MB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 Memming, February 16, 2008 at 3:25 p.m.:

This is an awesome lecture. I love it. I learned a lot about probability distributions over functions.

Comment2 Me, October 9, 2008 at 1:32 p.m.:

Excellent lecture indeed! Highly recommended for those who want to learn about gaussian process. Well, I think I will create an account here to put yet another star for this video lecture. Thanks, Prof. Rasmussen!

Comment3 oskar holm, April 1, 2009 at 9:59 p.m.:

very good lecture. helped me a lot. gaussian processes and bayesian inference are presented in a very clear way. this is the best introductions to these tricky subjects that i have ever come across.

however, the videographer should be shot.

Comment4 Pearl, January 31, 2010 at 8:26 a.m.:

Great! I really enjoy this lecture. Thanks.

Comment5 Oscar, August 3, 2011 at 11:53 p.m.:

great lecture. thanks!

Comment6 Christoph, November 27, 2011 at 11:16 p.m.:

Who is the idiot behind the camera. It seems it is the same fool who captured the tutorial on deep learning.

I just shouted at my monitor because I couldn't see where He was pointing, a bad sighn for my mental sanity.

Comment7 aravinda, September 6, 2012 at 5:20 p.m.:

I need the video lecturer series of Pattern Recognition and Pattern Classification How to get this if so please help me


Comment8 Teo, June 27, 2013 at 1:11 p.m.:

This was very helpful and I think the video is well recorded. I disagree with comment 6 above.

Comment9 Alexandr, May 21, 2014 at 9:26 a.m.:

Is factorization on the slide "Sequential Generation" correct? What if i = 1? Didn't get how is it obtained.

Write your own review or comment:

make sure you have javascript enabled or clear this field: