Machine Learning Summer School (MLSS), La Palma 2012
17 Videos · Apr 11, 2012
About
The school addresses the following topics: Learning Theory, Kernel Methods, Bayesian Machine learning, Monte Carlo Methods , Bayesian Nonparametrics, Optimization, Graphical Models, Information theory and Dimensionality Reduction.
Detailed information can be found here.
Videos
02:13:09
What is Machine Learning?
May 13, 2013
·
30907 views
04:27:20
Kernel Methods
Jan 25, 2013
·
15288 views
01:35:21
Channel Coding with LDPC Codes
Jan 25, 2013
·
4889 views
05:24:16
Dimensionality Reduction
Jan 25, 2013
·
13820 views
38:31
Gaussian Process: Practical Course
Jan 15, 2013
·
8963 views
02:26:14
Bayesian Modelling
Jan 15, 2013
·
18296 views
05:11:50
Optimization: Theory and Algorithms
Jan 15, 2013
·
12546 views
01:16:16
Graphical Models
Jan 15, 2013
·
8292 views
01:47:17
Nonparametric Bayesian Modelling
Jan 15, 2013
·
8739 views
01:25:50
Graph-based Semi-supervised Learning
Jan 15, 2013
·
6207 views
04:41:49
Concentration inequalities in machine learning
Jan 15, 2013
·
11748 views
01:27:44
Gaussian Processes
Jan 15, 2013
·
14415 views
05:42:27
Diffusions and Geodesic Flows on Manifolds: The Differential Geometry of Markov ...
Jan 15, 2013
·
7305 views
52:32
Dirichlet Process: Practical Course
Jan 15, 2013
·
11354 views
03:24:27
Introduction to Bayesian Nonparametrics
Jan 15, 2013
·
25551 views
01:47:38
Kingman's Coalescent for Hierarchical Representations
Jan 15, 2013
·
4229 views
01:34:47
Probabilistic decision-making, data analysis, and discovery in astronomy
Jan 15, 2013
·
3913 views