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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20211107T010000
TZOFFSETFROM:-0400
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BEGIN:VEVENT
DTSTAMP:20220314T231320Z
UID:AB53F2F4-091F-40D7-BBB6-2A8A34D4B7A5
DTSTART;TZID=Canada/Eastern:20220306T123000
DTEND;TZID=Canada/Eastern:20220306T133000
DESCRIPTION:The workshop host will present an overview of the essential str
 ucture of machine learning along with an example using TensorFlow Hub. We 
 will aim to take a practical approach to this complex subject for the purp
 oses of gaining insight into some of the theory behind the code. Over the 
 course of this workshop we will aim to cover:\n\n- A general overview of m
 achine learning (ML) and its current context in artificial intelligence.\n
 - Useful mathematics for gaining an intuitive understanding of some basic 
 processes in ML.\n- A discussion of possible projects that could involve M
 L along with example code in Python programming language.\n\nPrior exposur
 e to Python/C programming and calculus will be helpful but isn’t require
 d.\n\nSpeaker(s): John Hooper\, \n\nToronto\, Ontario\, Canada\, Virtual: 
 https://events.vtools.ieee.org/m/306166
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.o
 rg/m/306166
ORGANIZER:akarimalis91@gmail.com
SEQUENCE:9
SUMMARY:Machine Learning and TensorFlow: An Introduction and Overview
URL;VALUE=URI:https://events.vtools.ieee.org/m/306166
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The workshop host will present an overview
  of the essential structure of machine learning along with an example usin
 g TensorFlow Hub. &amp;nbsp\;We will aim to take a practical approach to this 
 complex subject for the purposes of gaining insight into some of the theor
 y behind the code. &amp;nbsp\;Over the course of this workshop we will aim to 
 cover:&lt;/p&gt;\n&lt;p&gt;&lt;br /&gt;- &amp;nbsp\; &amp;nbsp\;A general overview of machine learni
 ng (ML) and its current context in artificial intelligence.&lt;br /&gt;- &amp;nbsp\;
  &amp;nbsp\;Useful mathematics for gaining an intuitive understanding of some 
 basic processes in ML.&lt;br /&gt;- &amp;nbsp\; &amp;nbsp\;A discussion of possible proj
 ects that could involve ML along with example code in Python programming l
 anguage.&lt;/p&gt;\n&lt;p&gt;Prior exposure to Python/C programming and calculus will 
 be helpful but isn&amp;rsquo\;t required.&lt;/p&gt;
END:VEVENT
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