Learning in the real world

author: David Hand, Department of Mathematics, Imperial College London
published: Aug. 2, 2011,   recorded: July 2011,   views: 5209


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.


Quite properly, the early days of computational and machine learning assumed the data were well-behaved when developing learning algorithms and strategies. Unfortunately, such an assumption is unwise when one comes to apply the methods to real problems. This talk illustrates some of the complications of real problems, showing how blind application of highly effective methods can lead one seriously astray. Solutions require deep thought and the development of more sophisticated theory and algorithms.

See Also:

Download slides icon Download slides: colt2011_hand_world_01.pdf (151.7┬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 !

Write your own review or comment:

make sure you have javascript enabled or clear this field: