PASCAL Bootcamp in Machine Learning (videolectures.net)
The main topics developed in this summercamp will be:
* Basic Math and TCS for Machine Learning
* Useful existing software for Machine Learning
* Introduction to Machine Learning
* Theoretical frameworks and foundations
* Experimental Machine Learning
* Feature extraction and model selection
* Graphical models
* Kernel methods and linear predictors
* Clustering
* General view of application areas
* Machine learning in vision
* Machine learning in user interfaces
* Machine learning for data mining
5 comments
[ 3.5 ms ] story [ 21.9 ms ] threadI downloaded a lot of videos which I successfully played with MPlayer.
If you want to I can look at how exactly I downloaded it (it was a long time ago though).