PASCAL Bootcamp in Machine Learning

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