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:20200924T135259Z UID:E0F971C3-F5BA-413E-BD93-5FE03A8CBF1B DTSTART;TZID=Asia/Kolkata:20200704T140000 DTEND;TZID=Asia/Kolkata:20200704T153000 DESCRIPTION:- The speaker started the session with a few personal experienc es that he has had with Machine Learning like Credit Card Fraud Identifica tion\, Restaurant Recommendations and Offers etc.\n- He later discussed as to how we apply Machine Learning using: Clustering\, Classification and R ecommendation. And also discussed the applications of each method.\n- He w ent on to list the cases where “Failures” of Machine Learning were enc ountered like the Amazon Candidate Interview Program that was trained in a biased way and a recent university study that stated the Google displayed Ads in a way that discriminated the users based on gender.\n- The Machine Learning process was put forth in four simple steps namely Feature (Engin eering)\, Learning (Training)\, Evaluation (Metrics) and Deployment (Servi ng). Each of these steps was explained in detail.\n- The speaker also revi ewed the concepts of Deep Learning and The Deep Revolution and the new adv ances in the field of artificial intelligence.\n- The speaker identified a nd explained some of the queries that Machine Learning gives rise to like the generation of new content using Metadata\, Positioning of Ads at the r ight time and the Prediction of Human Response.\n\nSpeaker(s): Bala Prasad Peddigari\, \n\nAgenda: \nThe session was organized with an intent to fam iliarize the students with the Applications of Machine Learning in Real-li fe situations. The usage of Machine Learning in our day to day activities and the Application of Machine Learning concepts like Clustering and Class ification in practical scenarios were to be discussed.\n\nHyderabad\, Andh ra Pradesh\, India LOCATION:Hyderabad\, Andhra Pradesh\, India ORGANIZER:Rajeshwari_I@ieee.org SEQUENCE:2 SUMMARY:ML Webinar Series (8)-Applications URL;VALUE=URI:https://events.vtools.ieee.org/m/240899 X-ALT-DESC:Description: <br /><ul>\n<li>The speaker started the session wit h a few personal experiences that he has had with Machine Learning like Cr edit Card Fraud Identification\, Restaurant Recommendations and Offers etc .</li>\n<li>He later discussed as to how we apply Machine Learning using: Clustering\, Classification and Recommendation. And also discussed the app lications of each method.</li>\n<li>He went on to list the cases where &ld quo\;Failures&rdquo\; of Machine Learning were encountered like the Amazon Candidate Interview Program that was trained in a biased way and a recent university study that stated the Google displayed Ads in a way that discr iminated the users based on gender.</li>\n<li>The Machine Learning process was put forth in four simple steps namely Feature (Engineering)\, Learnin g (Training)\, Evaluation (Metrics) and Deployment (Serving). Each of thes e steps was explained in detail.</li>\n<li>The speaker also reviewed the c oncepts of Deep Learning and The Deep Revolution and the new advances in t he field of artificial intelligence.</li>\n<li>The speaker identified and explained some of the queries that Machine Learning gives rise to like the generation of new content using Metadata\, Positioning of Ads at the righ t time and the Prediction of Human Response.</li>\n</ul><br /><br />Agenda : <br /><p>The session was organized with an intent to familiarize the stu dents with the Applications of Machine Learning in Real-life situations. T he usage of Machine Learning in our day to day activities and the Applicat ion of Machine Learning concepts like Clustering and Classification in pra ctical scenarios were to be discussed.</p> END:VEVENT END:VCALENDAR