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Resource-aware Machine Learning – International Summer School 2012

March 1, 2012 10:13


Big data in machine learning is the future. But how to deal with data analysis and limited resources: Computational power, data distribution, energy or memory?

From 4th to 7th of September, the TU Dortmund University, Germany, will host this summer school on resource-aware machine learning. Further information and online registration at: http://sfb876.tu-dortmund.de/SummerSchool2012

Topics of the lectures include: Mining of ubiquitous data streams, criteria for efficient model selection or dealing with energy constraints... The theoretical lessons are accompanied by exercises and practical introductions: Analysis with RapidMiner and R, massively parallel programming with CUDA. A Data Mining Competition lets you test your machine learning skills on real world smartphone data.

The summer school is open for international PhD or advanced master students, who want to learn cutting edge techniques for machine learning with constrained resources.

Excellent students may apply for a student grant supporting travel and accommodation. Deadline for application is 1st of June.



http://sfb876.tu-dortmund.de/SummerSchool2012/index.html

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