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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
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BEGIN:VEVENT
DTSTAMP:20251003T094425Z
UID:CC351084-633E-4BF3-B543-A7AF1D0541F9
DTSTART;TZID=Asia/Kolkata:20240105T193000
DTEND;TZID=Asia/Kolkata:20240105T203000
DESCRIPTION:The IEEE SB SSIT event “#31 BAYESIAN BRILLIANCE: NAVIGATING N
 AÏVE BAYES FOR BEGINNERS” held on January 5\,2024 held by our passionat
 e student Roshith P B of 3rd AI-DS department was a grand success. Held on
  January 5\,2024 from 7:30 PM to 8:30 PM\, this online webinar provided an
  in-depth understanding of this probabilistic classification algorithm wid
 ely used in machine learning.\n\nTIMINGS: 7:30 to 8:30 PM\n\nThe IEEE SB S
 SIT event “#31 BAYESIAN BRILLIANCE: NAVIGATING NAÏVE BAYES FOR BEGINNER
 S” conducted by our enthusiastic third year student P.B. Roshith of AI-D
 S Department on January 5\,2024 was a resounding success. The session bega
 n with an introduction to the basic principles of Bayes' Theorem\, which f
 orms the foundation for Naive Bayes. The speaker covered the use of Naive 
 Bayes in classification tasks\, emphasizing its applicability in sentiment
  analysis\, spam filtering\, and natural language processing (NLP). The sp
 eaker also discussed how the algorithm's efficiency and simplicity allow i
 t to handle big datasets with many dimensions. The webinar also covered Na
 ive Bayes' advantages and disadvantages. It was recognized for its rapid t
 raining times and strong performance even with little data. For their futu
 re reference\, the students were also given access to Github repositories.
  All of the participants received certificates of gratitude acknowledging 
 their enthusiasm for discovering new fields. Through a successful demystif
 ication of the algorithm\, the webinar made Naive Bayes understandable to 
 both novices and those looking to deepen their understanding of the algori
 thm.\n\nSpeaker(s): Roshith P B\n\nVirtual: https://events.vtools.ieee.org
 /m/419837
LOCATION:Virtual: https://events.vtools.ieee.org/m/419837
ORGANIZER:saritha.ece@sairamit.edu.in
SEQUENCE:8
SUMMARY:ForBy Series #31 - BAYESIAN BRILLIANCE : NAVIGATING NAÏVE BAYES FO
 R BEGINNERS
URL;VALUE=URI:https://events.vtools.ieee.org/m/419837
X-ALT-DESC:Description: <br /><p class="MsoNormal"><span style="font-size: 
 16.0pt\; line-height: 107%\;">The IEEE SB SSIT event &ldquo\;#31 BAYESIAN 
 BRILLIANCE: NAVIGATING NA&Iuml\;VE BAYES FOR BEGINNERS&rdquo\; held on Jan
 uary 5\,2024 held by our passionate student Roshith P B of 3<sup>rd</sup> 
 AI-DS department was a grand success. Held on January 5\,2024 from 7:30 PM
  to 8:30 PM\, this online webinar provided an in-depth understanding of th
 is probabilistic classification algorithm widely used in machine learning.
 </span></p>\n<p class="MsoNormal"><span style="font-size: 16.0pt\; line-he
 ight: 107%\;">TIMINGS: 7:30 to 8:30 PM</span></p>\n<p class="MsoNormal"><s
 pan style="font-size: 16.0pt\; line-height: 107%\;">&nbsp\;</span></p>\n<p
  class="MsoNormal"><span style="font-size: 16.0pt\; line-height: 107%\;">T
 he IEEE SB SSIT event &ldquo\;#31 BAYESIAN BRILLIANCE: NAVIGATING NA&Iuml\
 ;VE BAYES FOR BEGINNERS&rdquo\; conducted by our enthusiastic third year s
 tudent P.B. Roshith of AI-DS Department on January 5\,2024 was a resoundin
 g success.</span> <span style="font-size: 16.0pt\; line-height: 107%\;">Th
 e session began with an introduction to the basic principles of Bayes' The
 orem\, which forms the foundation for Naive Bayes.</span> <span style="fon
 t-size: 16.0pt\; line-height: 107%\;">The speaker covered the use of Naive
  Bayes in classification tasks\, emphasizing its applicability in sentimen
 t analysis\, spam filtering\, and natural language processing (NLP). The s
 peaker also discussed how the algorithm's efficiency and simplicity allow 
 it to handle big datasets with many dimensions. The webinar also covered N
 aive Bayes' advantages and disadvantages. It was recognized for its rapid 
 training times and strong performance even with little data. For their fut
 ure reference\, the students were also given access to Github repositories
 . All of the participants received certificates of gratitude acknowledging
  their enthusiasm for discovering new fields. Through a successful demysti
 fication of the algorithm\, the webinar made Naive Bayes understandable to
  both novices and those looking to deepen their understanding of the algor
 ithm.<br><br><img src="https://events.vtools.ieee.org/vtools_ui/media/disp
 lay/0f42fcee-b43c-4047-87f3-7c6b8dde418f"></span></p>
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