Resource-aware Machine Learning – International Summer School, Sep 25-28, TU Dortmund

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 September 25th to 28th, 2017 TU Dortmund University, Germany, hosts the 4th summer school on resource-aware machine learning. Topics of the lectures include: Exercises help bringing the contents of the lectures to life. The PhyNode low power computation platform was developed at the collaborative research center SFB 876.