BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200924T115952Z
UID:EC7E5F64-3273-40D2-BE87-ED01F68F4C46
DTSTART;TZID=Asia/Kolkata:20200629T140000
DTEND;TZID=Asia/Kolkata:20200629T160000
DESCRIPTION:Dr G Ramesh Chandra has started the session by explaining the s
 ignificance of Machine Learning Applications such as face recognition\, Di
 sease detection etc.. and concluded how Classification algorithms would he
 lp to implement such an application. He continued describing the differenc
 e between supervised learning and unsupervised learning. Then he started e
 xplaining Classification(One of the types in Supervised learning) and expl
 ained it with a practical example. Implementation of Classification algori
 thms(KNN\, Decision Tree and SVM ) have been explained mathematically and 
 algorithmically. Mr Tharun (One of the Organizers) showcased the demos rea
 l-time applications(such as Sentiment Analysis\, Face Recognition and Dise
 ase Detection) wherein the backend classification algorithm are implemente
 d.\n\nSpeaker(s): Dr. G. Ramesh Chandra\, \n\nAgenda: \nThe webinar aimed 
 to help students understand the concepts of Classification in Machine Lear
 ning and implement them in projects.\n\nVirtual: https://events.vtools.iee
 e.org/m/240916
LOCATION:Virtual: https://events.vtools.ieee.org/m/240916
ORGANIZER:Rajeshwari_I@ieee.org
SEQUENCE:0
SUMMARY:ML Webinar Series (5)-Classification
URL;VALUE=URI:https://events.vtools.ieee.org/m/240916
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Dr G Ramesh Chandra has started the sessio
 n by explaining the significance of Machine Learning Applications such as 
 face recognition\, Disease detection etc.. and concluded how Classificatio
 n algorithms would help to implement such an application. He continued des
 cribing the difference between supervised learning and unsupervised learni
 ng. Then he started explaining Classification(One of the types in Supervis
 ed learning) and explained it with a practical example. Implementation of 
 Classification algorithms(KNN\, Decision Tree and SVM ) have been explaine
 d mathematically and algorithmically. Mr Tharun (One of the Organizers) sh
 owcased the demos real-time applications(such as Sentiment Analysis\, Face
  Recognition and Disease Detection) wherein the backend classification alg
 orithm are implemented.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;The webinar aimed 
 to help students understand the concepts of Classification in Machine Lear
 ning and implement them in projects.&lt;/p&gt;
END:VEVENT
END:VCALENDAR