MLCUED'08 - University of Cambridge
Machine Learning seminars at the Cambridge University Engineering Department
Machine Learning is a multidisciplinary field which aims to understand and design algorithms that automatically extract useful information from data. Since real world data are typically noisy, ambiguous and occasionally erroneous, a central requirement of a learning system is that it must be able to handle uncertainty. Probability theory provides an ideal basis for representing and manipulating uncertain knowledge, so many successful algorithms in machine learning are based on probabilistic i.e. Bayesian inference. Bayesian inference provides a principled framework for machine learning, but exact inference is often intractable, so most algorithms rely on approximations such as variational methods or Markov chain Monte Carlo.
More > http://talks.cam.ac.uk/show/archive/9091
21 comments 
There are many lectures in this series (Machine Learning Seminars at Cambridge Engineering Department) and they are going to be coming online here soon.
-Zoubin
08 March 2008
Very useful resources. Thanks, Prof Zoubin
I can not wait any more :-)
Thanks a lot for uploading!! Can't wait.
Many thanks for providing these lectures, I have to say that I am quite excited about some of the talks, listed in Cambridge page, hopefully they'll be here soon. Is there a way I can register for an update reminder of some sort?
Regards
Seref
Many thanks to all that provide such great useful info.
I'd also like to be notified for new lecture by email. Is there anyway for registration?
Thanks again.
Amirhossein
here's an rss feed for this page, to keep track of new videos posted:
http://feed43.com/videolectures_mlcue...
(it would be great iv videolectures provided rss feeds.)
Good morning,
I have been told to look on this site as I am looking for the very best researchers in the country for a one off opportunity based in London.
We are looking for exceptional researchers with an interest in automated image understanding to join our research team. You will recently have obtained a PhD in the areas of signal processing, computer vision and/or machine learning. We are particularly interested in applications from candidates with additional research experience in niche subjects such as relational data mining or description logic. A strong background in mathematics is essential, as is a record of relevant and high-quality publications. Some of the problems we study are of immediate commercial relevance, but there is ample scope to be visionary. We encourage everyone to continue to play an active part in the research community through publications and reviewing activities. The team is based in our main office in Notting Hill, London.
This is an outstanding opportunity, if you are interested or know anyone who might be please contact me (Mike) on 02088754353 or m.bott@lawrenceharvey.com