Learning Theory

author: John Shawe-Taylor, Centre for Computational Statistics and Machine Learning, University College London
published: Nov. 2, 2009,   recorded: September 2009,   views: 1990
Categories

Slides

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.
  Delicious Bibliography

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 1:21:00
!NOW PLAYING
Watch Part 2
Part 2 1:23:42
!NOW PLAYING

See Also:

Download slides icon Download slides: mlss09uk_shawe_taylor_lt.pdf (299.2┬áKB)


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 Ed Warner, January 6, 2011 at 12:43 p.m.:

I enjoyed this very competent talk by this very likable speaker. Dr. Shawe-Taylor says that he views Learning Theory as much broader than just Statistical Learning Theory, which is his focus. It would have been nice, however, to have another talk on Algorithmic Learning Theory at this summer school, as one could argue that ALT is the most general type of learning theory.

Write your own review or comment:

make sure you have javascript enabled or clear this field: