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Scalable Machine Learning through Approximation and Distributed Computing

Time: Tue 2019-05-28 14.00

Location: Sal B, Kistagången 16, Electrum 1, plan 2, KTH Kista

Subject area: Computer Science

Doctoral student: Theodoros Vasiloudis , Computational Science and Technology

Opponent: Associate Professor lndre Zliobaite, University of Helsinki, Helsinki, Finland

Supervisor: Professor Anders Holst

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