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