Machine Learning Summer School (MLSS), Tübingen 2003
16 Videos · Aug 3, 2003
About
Machine Learning is a foundational discipline of the Information Sciences. It combines deep 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, IT professionals, and academics from all over the world.
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Videos
Lectures
An Introduction to Pattern Classification
Feb 25, 2007 26698 views
Concentration Inequalities with Machine Learning Applications
Feb 25, 2007 7935 views
Universal Modeling: Introduction to modern MDL
Feb 25, 2007 10649 views
Analysis of Support Vector Machine Classification
Feb 25, 2007 8052 views
Information Retrieval and Language Technology
Feb 25, 2007 10527 views
Unsupervised Learning with Kernels
Feb 25, 2007 8413 views
Bayesian Inference: Principles and Practice
Feb 25, 2007 26877 views
Statistical Learning Theory
Feb 25, 2007 31680 views
Stochastic Learning
Feb 25, 2007 14807 views
Empirical Inference
Feb 25, 2007 10420 views
Gaussian Processes
Feb 25, 2007 20182 views
Some Mathematical Tools for Machine Learning
Feb 25, 2007 37601 views
Monte Carlo Simulation methods
Feb 25, 2007 11779 views
Foundations of Learning
Feb 25, 2007 7675 views
Independent Component Analysis
Feb 25, 2007 27401 views
Bioinformatics
Feb 25, 2007 10727 views