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
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200624T032514Z
UID:7E7353D2-DE30-45BE-9EBF-BA640D70E18E
DTSTART;TZID=Asia/Calcutta:20200622T140000
DTEND;TZID=Asia/Calcutta:20200622T160000
DESCRIPTION:- The speaker has started the discussion showing an article pic
 ked up from a newspaper which says\, “Learn Mathematics\, it is at the c
 ore of Today’s tech.\n- A pie chart is shown describing the importance o
 f different mathematical topics in Machine Learning.\n- The speaker has ex
 plained the significance of each mathematical topic that helps in various 
 stages of building a better mathematical model.\n- The mathematics helps i
 n selecting a better algorithm considering training time\, accuracy\, comp
 lexity\, number of parameters etc.\n- After introduction\, the speaker has
  explained the topic “PROBABILITY” and it’ s roots in the field of m
 achine learning by giving examples like the importance of Baye’ s theore
 m in classification and regression.\n\nSpeaker(s): Mrs T. Jaya Shree\, \n\
 nAgenda: \nThe lecture was aimed at making the participants understand the
  role of mathematics in the field of machine learning. Despite having many
  libraries in machine learning\, one can select the right algorithm only b
 ased on the mathematical analysis. It helps in proper extraction of data t
 hat helps in training the machine learning model.\n\nHyderabad\, Andhra Pr
 adesh\, India
LOCATION:Hyderabad\, Andhra Pradesh\, India
ORGANIZER:tharunkumar@ieee.org
SEQUENCE:0
SUMMARY:Lecture on Mathematics for Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/233885
X-ALT-DESC:Description: <br /><ul>\n<li>The speaker has started the discuss
 ion showing an article picked up from a newspaper which says\, &ldquo\;Lea
 rn Mathematics\, it is at the core of Today&rsquo\;s tech.</li>\n<li>A pie
  chart is shown describing the importance of different mathematical topics
  in Machine Learning.</li>\n<li>The speaker has explained the significance
  of each mathematical topic that helps in various stages of building a bet
 ter mathematical model.</li>\n<li>The mathematics helps in selecting a bet
 ter algorithm considering training time\, accuracy\, complexity\, number o
 f parameters etc.</li>\n<li>After introduction\, the speaker has explained
  the topic &ldquo\;PROBABILITY&rdquo\; and it&rsquo\; s roots in the field
  of machine learning by giving examples like the importance of Baye&rsquo\
 ; s theorem in classification and regression.</li>\n</ul><br /><br />Agend
 a: <br /><p>The lecture was aimed at making the participants understand th
 e role of mathematics in the field of machine learning. Despite having man
 y libraries in machine learning\, one can select the right algorithm only 
 based on the mathematical analysis. It helps in proper extraction of data 
 that helps in training the machine learning model.</p>
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END:VCALENDAR