1 Rohan Anil, December 31, 2008 at 1:15 a.m.:

Amazing, must watch
crystal clear!

2 swy, June 11, 2009 at noon:

Video is very good, but can we not use rtmp? I would like to save the video so that I can watch it even when I am offline.

3 zslevi, July 28, 2009 at 11:27 a.m.:

So, is the relation between a covariance and inverse covariance like between posterior and prior distributions?

4 Lee, November 5, 2009 at 12:26 a.m.:

video is good, audio is poor though, hard to understand the speaker. My kingdom for a mic!

5 Flávio Coelho, December 2, 2009 at 3:51 p.m.:

What software is he using to generate the graphics in real-time?

6 gordon anderson, February 1, 2010 at 3:38 a.m.:

Very engaging and intuitive intro to gaussian processes.

Highly recommended.

7 Tim, July 9, 2011 at 4:43 p.m.:

Excellent lecture, spoilt by shoddy camera work!

8 human mathematics, January 9, 2012 at 9:57 p.m.:

A little hard to follow because he goes along without explaining why or how.

If the lecturer is reading this--I would use a ggplot geom_smooth / geom_path sort of deal rather than the video. The video is not Tufte-compliant because it shows the method more than the data.

For those having trouble viewing the videos, like me, stream the mms:// url with mplayer, that worked better for me than the site. I used mplayer -vfm ffmpeg -lavdopts lowres=1:fast:skiploopfilter=all mms://velblod2.ijs.si:80/v000/3c/hsnlqwdrqmxwtuvwnxaxx3hxibqyhld.wmv.

9 Louis, March 23, 2015 at 5:02 p.m.:

The RTMP link is rtmp://oxy.videolectures.net/video/gpip06_mackay_gpb/flv:v000/a7/u7mevpiqbufsbd2g7yglhtyjymodckhh

If that stops working see https://github.com/lmmx/devnotes/wiki...

10 Jarv, November 1, 2017 at 10 a.m.:

youtube-dl is capable (2017-10) of extracting this video. The RTMP links appear to be down.

The 'medium bandwidth' .flv stream appears to end up with the best quality (VP6 Flash codec), 320x240:

youtube-dl -v -xk -f http-415 "http://videolectures.net/gpip06_mackay_gpb/"

List available formats with:
youtube-dl -v -F "http://videolectures.net/gpip06_mackay_gpb/"

11 https://www.welleryachts.com/, January 11, 2021 at 5:31 a.m.:

A Gaussian process is a probability distribution over possible functions that fit a set of points.