Statistical Learning Theory

author: John Shawe-Taylor, Centre for Computational Statistics and Machine Learning, University College London
published: Feb. 25, 2007,   recorded: September 2004,   views: 96128
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Download slides icon Download slides: jst.pdf (297.7 KB)

Download slides icon Download slides: newslides.pdf (293.6 KB)

Download article icon Download article: answers.pdf (69.3 KB)

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Reviews and comments:

Comment1 Diego, August 18, 2008 at 8:22 p.m.:

In slide 24, the rhs of the second equation is the expected loss using the Bayes risk


Comment2 vincent, January 6, 2009 at 10:10 a.m.:

part 4 of this lecture is actually part 1. Need proper part 4!


Comment3 Mahdi, April 17, 2012 at 2:02 a.m.:

The seventh part does not follow the topic from the sixth part, and also does not match the slides. it seems the slides are for the real seventh part which is not provided and this current seventh part is the eight part.


Comment4 kirk, April 25, 2019 at 12:21 p.m.:

For the name of whatever you believe in please put some goddamn speed controller for the video player. It's driving us insane....


Comment5 Stanton, January 8, 2024 at 9:28 a.m.:

Everything related to databases has an increased complexity coefficient (in my opinion). That is why I am especially grateful to those lecturers who present the material in a form accessible to students. I will look forward to your other lectures on this resource.


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