BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Africa/Algiers
BEGIN:STANDARD
DTSTART:19810501T010000
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:CET
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BEGIN:VEVENT
DTSTAMP:20241209T135819Z
UID:7E308C27-4532-4C5E-A746-1EB2366EDE07
DTSTART;TZID=Africa/Algiers:20241120T133000
DTEND;TZID=Africa/Algiers:20241120T153000
DESCRIPTION:On Wednesday\, November 20\, 2024\, We\, IEEE TEK-UP SB\, hoste
 d an engaging event titled &quot;Let&#39;s Talk Data\,&quot; bringing together enthusias
 ts and professionals to explore the latest trends in data science.\n\nThe 
 event featured two enlightening sessions:\n\n-\nAccelerated and Scalable C
 omputing: Ghassen Khaled provided an in-depth look into Apache Spark and R
 APIDS\, highlighting their potential to revolutionize data processing and 
 analytics.\n\n-\nData Ethics and Bias Reduction: Sarra Tabbassi led a thou
 ght-provoking discussion on the ethical considerations in data science and
  methods to mitigate bias.\n\nOpen to all\, the event offered participants
  an opportunity to learn\, network\, and engage in meaningful discussions 
 about the evolving field of data science.\n\nTEKUP University\, Ariana\, A
 riana\, Tunisia
LOCATION:TEKUP University\, Ariana\, Ariana\, Tunisia
ORGANIZER:ieee.sb@tek-up.tn
SEQUENCE:11
SUMMARY:Let&#39;s Talk Data 
URL;VALUE=URI:https://events.vtools.ieee.org/m/451625
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-pm-slice=&quot;1 1 []&quot;&gt;On Wednesday\, Nove
 mber 20\, 2024\, We\, IEEE TEK-UP SB\, hosted an engaging event titled &quot;Le
 t&#39;s Talk Data\,&quot; bringing together enthusiasts and professionals to explor
 e the latest trends in data science.&lt;/p&gt;\n&lt;p&gt;The event featured two enligh
 tening sessions:&lt;/p&gt;\n&lt;ul data-spread=&quot;false&quot;&gt;\n&lt;li&gt;\n&lt;p&gt;&lt;strong&gt;Accelerat
 ed and Scalable Computing:&lt;/strong&gt; Ghassen Khaled provided an in-depth lo
 ok into Apache Spark and RAPIDS\, highlighting their potential to revoluti
 onize data processing and analytics.&lt;/p&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;p&gt;&lt;strong&gt;Data Eth
 ics and Bias Reduction:&lt;/strong&gt; Sarra Tabbassi led a thought-provoking di
 scussion on the ethical considerations in data science and methods to miti
 gate bias.&lt;/p&gt;\n&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;Open to all\, the event offered participa
 nts an opportunity to learn\, network\, and engage in meaningful discussio
 ns about the evolving field of data science.&lt;/p&gt;
END:VEVENT
END:VCALENDAR