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.
Videos
Lectures

Generalized Principal Component Analysis (GPCA)
Feb 25, 2007
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19390 views

Machine Learning for Games
Feb 25, 2007
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16252 views

How to predict with Bayes, MDL, and Experts
Feb 25, 2007
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7559 views

Bioinformatics Challenge: Learning in Very High Dimensions with Very Few Samples
Feb 25, 2007
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7474 views

Exponential Families in Feature Space - Part 5
Feb 25, 2007
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4054 views

Exponential Families in Feature Space
Feb 25, 2007
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7667 views
Text Categorization
Feb 25, 2007
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5747 views

Independent Component Analysis
Feb 25, 2007
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73306 views

Gradient Methods for Machine Learning
Feb 25, 2007
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9978 views
Probabilistic Graphical Models
Feb 25, 2007
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154208 views

Reinforcement Learning
Feb 25, 2007
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7224 views
MarkusSparse Grid Methods
Feb 25, 2007
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6398 views

Graph Matching Algorithms
Feb 25, 2007
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20366 views

Exponential Families in Feature Space - Part 6
Feb 25, 2007
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4040 views
Kernel Methods for Higher Order Image Statistics
Feb 25, 2007
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11208 views