IEEE Toronto Centennial Workshop: Distributed Machine Learning, The Future of Programming in The Present

Saturday Dec 1, 2018 at 5:30 p.m. Reza Dibaj, Chair of Magnetics Chapter, IEEE Toronto Section, will be presenting an IEEE Toronto Centennial Workshop: “Distributed Machine Learning, The Future of Programming in The Present”.

Day & Time: Saturday December 1st, 2018
5:30 p.m. ‐ 6:30 p.m.

Speaker: Reza Dibaj
Chair of Magnetics Chapter, IEEE Toronto Section

Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto

Location: Room A3-17
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8

Contact: Reza Dibaj

Abstract: Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data to information and transform the information into actionable knowledge. Moreover, distributed computing ecosystems provide the ability to break down the computation burdens among commodity hardware, thanks to cloud environments. Among all the attempts in this road, SciKit and TensorFlow are two states of the art libraries that can be used in Python and this seminar will open the gate to know their bases.