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.
Related categories
Uploaded videos:
Lectures
Probabilistic Graphical Models
Feb 25, 2007
·
154208 Views
How to predict with Bayes, MDL, and Experts
Feb 25, 2007
·
7556 Views
Generalized Principal Component Analysis (GPCA)
Feb 25, 2007
·
19386 Views
Text Categorization
Feb 25, 2007
·
5747 Views
Independent Component Analysis
Feb 25, 2007
·
73298 Views
Gradient Methods for Machine Learning
Feb 25, 2007
·
9973 Views
Exponential Families in Feature Space
Feb 25, 2007
·
7665 Views
Exponential Families in Feature Space - Part 5
Feb 25, 2007
·
4053 Views
Exponential Families in Feature Space - Part 6
Feb 25, 2007
·
4038 Views
Kernel Methods for Higher Order Image Statistics
Feb 25, 2007
·
11208 Views
MarkusSparse Grid Methods
Feb 25, 2007
·
6398 Views
Reinforcement Learning
Feb 25, 2007
·
7221 Views
Graph Matching Algorithms
Feb 25, 2007
·
20360 Views
Machine Learning for Games
Feb 25, 2007
·
16222 Views
Bioinformatics Challenge: Learning in Very High Dimensions with Very Few Samples
Feb 25, 2007
·
7472 Views