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MLSS 2007 - Tübingen   

Machine Learning Summer School (MLSS), Tübingen 2007

Machine Learning is a foundational discipline of the Information Sciences. It combines theory from areas as diverse as Statistics, Mathematics, Engineering, and Information Technology with many practical and relevant real life applications. The aim of the summer school is to cover the entire spectrum from theory to practice. It is mainly targeted at research students, academics, and IT professionals from all over the world. The program will feature introductory courses at the beginning to provide basic working knowledge of Machine Learning. Building on this introductory material, advanced topics will be covered progressively over the duration of the school. Subjects will be covered both in lectures (4-6 per topic) and in practical courses (where students will have the chance to implement methods for themselves); and are taught by world experts in their fields.

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Evening Talks Students Session  

Opening and Closing

144 views, 03:41  
flagClosing remarksClosing remarks
Bernhard Schölkopf Bernhard Schölkopf

Lectures

votesvotesvotesvotesvotes [syn]  13716 views, 5:15:43  
flagGraphical modelsGraphical models
Zoubin Ghahramani Zoubin Ghahramani
comments23 comments 
votesvotesvotesvotesvotes [syn]  7952 views, 2:22:17  
flagConvex OptimizationConvex Optimization
Lieven Vandenberghe Lieven Vandenberghe
comments8 comments 
votesvotesvotesvotesvotes 1520 views, 4:28:22  
flagOnline LearningOnline Learning
Nicolò Cesa-Bianchi Nicolò Cesa-Bianchi
comments2 comments 

Interviews

Leisure time - music events during MLSS 2007

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