BEGIN:VCALENDAR
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
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20211107T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20211021T204627Z
UID:4896F1E3-E09E-49E9-8A5F-FDC29E2BCE8E
DTSTART;TZID=Canada/Eastern:20210525T180000
DTEND;TZID=Canada/Eastern:20210525T190000
DESCRIPTION:In the digital age\, the amount of worldwide data that is being
  generated on a daily basis is rapidly growing\, reaching 175 zettabytes b
 y 2025. These massive volumes of data have led to growing interest in usin
 g Machine Learning (ML) algorithms to extract valuable insights from datab
 ases. ML techniques can be considered as the foundation of a broad spectru
 m of next-generation technologies\, including medical applications.\n\nSpe
 aker(s): Behnaz Fakhar Firouzeh\, \n\nVirtual: https://events.vtools.ieee.
 org/m/271608
LOCATION:Virtual: https://events.vtools.ieee.org/m/271608
ORGANIZER:ieeewieottawa@gmail.com
SEQUENCE:4
SUMMARY:Machine Learning in Biomedical Data
URL;VALUE=URI:https://events.vtools.ieee.org/m/271608
X-ALT-DESC:Description: <br /><p>In the digital age\, the amount of worldwi
 de data that is being generated on a daily basis is rapidly growing\, reac
 hing 175 zettabytes by 2025. These massive volumes of data have led to gro
 wing interest in using Machine Learning (ML) algorithms to extract valuabl
 e insights from databases. ML techniques can be considered as the foundati
 on of a broad spectrum of next-generation technologies\, including medical
  applications.</p>\n<p>&nbsp\;</p>
END:VEVENT
END:VCALENDAR