Connectionists: Machine Learning Summer School at Chalmers university, Gothenburg, Sweden

[Christos Dimitrakakis]

A machine learning summer school will be held at Chalmers, Gothenburg, 
the second largest Swedish city, in the period 14-16 April.

Information and registration:

http://www.chalmers.se/en/departments/cse/organisation/CS/Pages/machine-learning-summer-school.aspx

Topics

Machine learning has increasing importance in today's society, with 
ever-wider application of autonomous learning systems in areas ranging 
from advertising to energy and finance. It also has many scientific 
applications, as evidence by the growth of data science as a discipline. 
This summer school will give thorough introductions to a number of 
techniques and application areas in machine learning, including.

On the theory side, topics covered will include Bayesian inference, Deep 
learning, Gaussian processes, Markov decision processes, Monte-Carlo 
methods and Reinforcement learning. The applications will include 
Computational Biology, Computer vision, Energy and Smart Grids, Medicine 
and Robotics.

Travel grants are available for students.

Speakers

Marc Deisenroth, Imperial College, UK.
Mattias Villani, Linköping University, Sweden.
Tomas Schon, Uppsala University, Sweden.
Josephine Sullivan, KTH, Sweden
Tom Heskes, Radbound University, Nimejgen, Netherlands.
Devdatt Dubhashi, Chalmers University of Technology, Sweden.
Lars Carlsson, Astra Zeneca, Sweden
Christos Dimitrakakis, Chalmers University of Technology, Sweden.
Damien Ernst, University of Liege, Belgium.
Ronald Ortner, University of Loeben, Austria

Sponsors:

- Chalmers (Computing Science Division, Energy Area of Advance, ICT Area 
of Advance)
- Swedish AI Society

Contact Christos Dimitrakakis <chrdimi at chalmers.se> or Devdatt Dubhashi 
<dubhashi at chalmers.se> for further information.

-- 
Christos Dimitrakakis
http://www.cse.chalmers.se/~chrdimi/