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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
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BEGIN:STANDARD
DTSTART:20211107T010000
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BEGIN:VEVENT
DTSTAMP:20210720T021549Z
UID:232E73CB-01EA-4A6E-A24A-447FB050B02C
DTSTART;TZID=Canada/Eastern:20210719T120000
DTEND;TZID=Canada/Eastern:20210719T130000
DESCRIPTION:Machine Learning is an indispensable part of data science\, and
  there is no need to have a thorough programming background to benefit fro
 m it. Machine Learning (ML) and statistical techniques have provided a new
  era that enables us to convert the data into information and transform it
  into actionable knowledge. SciKit and TensorFlow are two states of the ar
 t libraries that can be used in Python\, and this seminar will open the ga
 te to know their bases. The first seminar is about “Hello World!” Mach
 ine Learning program\, using the python language and SciKit learn library.
 \n\nSpeaker(s): Dr. Reza Dibaj\, \n\nToronto\, Ontario\, Canada\, Virtual:
  https://events.vtools.ieee.org/m/276938
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.o
 rg/m/276938
ORGANIZER:reza.dibaj@ieee.org
SEQUENCE:4
SUMMARY:Distributed Machine Learning 101
URL;VALUE=URI:https://events.vtools.ieee.org/m/276938
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Machine Learning is an indispensable part 
 of data science\, and there is no need to have a thorough programming back
 ground to benefit from it. Machine Learning (ML) and statistical technique
 s have provided a new era that enables us to convert the data into informa
 tion and transform it into actionable knowledge. SciKit and TensorFlow are
  two states of the art libraries that can be used in Python\, and this sem
 inar will open the gate to know their bases. The first seminar is about &amp;l
 dquo\;Hello World!&amp;rdquo\; Machine Learning program\, using the python lan
 guage and SciKit learn library.&lt;/p&gt;
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