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

Belongs to: School of Electrical Engineering and Computer Science
Last changed: May 07, 2019