BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Calcutta
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20200626T192406Z
UID:B30CF160-D862-43DA-B66E-189562132F4A
DTSTART;TZID=Asia/Calcutta:20200624T140000
DTEND;TZID=Asia/Calcutta:20200624T160000
DESCRIPTION:- The speaker started the session with a review on the definiti
 on of calculus by highlighting the difference between algebra and calculus
 \, also taking note of the branches of calculus ie. Differential and Integ
 ral calculus.\n- Basic concepts of calculus such as Partial Derivatives\, 
 Chain rule\, Maxima and Minima\, Jacobian and Extreme values were discusse
 d with relevant examples.\n- Role of Calculus in Machine Learning was disu
 ceesd with the help of the Gradient descent method and Loss Function.\n- T
 he implementation of calculus in python was explained with the help of a p
 rogram.\n- Concepts like Regression line and Least Square method were disc
 ussed to help the participants get a better understanding.\n- A quiz on 
 “Mathematics for Machine Learning” was conducted in the latter part of
  the session.\n\nSpeaker(s): Mr V Ganesh Kumar\, \n\nAgenda: \nThe session
  aimed to discuss calculus in detail by answering simple questions based o
 n the use and need of calculus. The session was planned by giving equal we
 ightage to topics such as the Branches of Calculus\, Multivariate Calculus
 \, Role of Calculus in Machine Learning and its other Applications.\n\nHyd
 erabad\, Andhra Pradesh\, India
LOCATION:Hyderabad\, Andhra Pradesh\, India
ORGANIZER:tharunkumar@ieee.org
SEQUENCE:0
SUMMARY:Webinar on "Calculus for Machine Learning"
URL;VALUE=URI:https://events.vtools.ieee.org/m/234105
X-ALT-DESC:Description: <br /><ul>\n<li>The speaker started the session wit
 h a review on the definition of calculus by highlighting the difference be
 tween algebra and calculus\, also taking note of the branches of calculus 
 ie. Differential and Integral calculus.</li>\n<li>Basic concepts of calcul
 us such as Partial Derivatives\, Chain rule\, Maxima and Minima\, Jacobian
  and Extreme values were discussed with relevant examples.</li>\n<li>Role 
 of Calculus in Machine Learning was disuceesd with the help of the Gradien
 t descent method and Loss Function.</li>\n<li>The implementation of calcul
 us in python was explained with the help of a program.</li>\n<li>Concepts 
 like Regression line and Least Square method were discussed to help the pa
 rticipants get a better understanding.</li>\n<li>A quiz on &ldquo\;Mathema
 tics for Machine Learning&rdquo\; was conducted in the latter part of the 
 session.</li>\n</ul><br /><br />Agenda: <br /><p>The session aimed to disc
 uss calculus in detail by answering simple questions based on the use and 
 need of calculus. The session was planned by giving equal weightage to top
 ics such as the Branches of Calculus\, Multivariate Calculus\, Role of Cal
 culus in Machine Learning and its other Applications.</p>
END:VEVENT
END:VCALENDAR