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DTSTART;TZID=America/Toronto:20181201T173000
DTEND;TZID=America/Toronto:20181201T183000
DTSTAMP:20260424T145648
CREATED:20210430T022122Z
LAST-MODIFIED:20210430T225641Z
UID:10000153-1543685400-1543689000@www.ieeetoronto.ca
SUMMARY:IEEE Toronto Centennial Workshop: Distributed Machine Learning\, The Future of Programming in The Present
DESCRIPTION: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”. \nDay & Time: Saturday December 1st\, 2018\n5:30 p.m. ‐ 6:30 p.m. \nSpeaker: Reza Dibaj\nChair of Magnetics Chapter\, IEEE Toronto Section \nOrganizers: Magnetics Chapter\, IEEE Toronto Centennial College Chapter\, WIE IEEE Toronto \nLocation: Room A3-17\nCentennial College\, Progress Campus\n941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8 \nContact: Reza Dibaj \nAbstract: 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.
URL:https://www.ieeetoronto.ca/event/ieee-toronto-centennial-workshop-distributed-machine-learning-the-future-of-programming-in-the-present/
LOCATION:Room A3-17\, Centennial College\, Progress Campus 941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8
CATEGORIES:Magnetics,Women in Engineering
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