BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//HasGeek//NONSGML Funnel//EN
DESCRIPTION:Women-only mixer for female founders\, operators & VCs in AI\,
  Machine Learning and Data Science
X-WR-CALDESC:Women-only mixer for female founders\, operators & VCs in AI\
 , Machine Learning and Data Science
NAME:Women in AI mixer
X-WR-CALNAME:Women in AI mixer
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Women in AI mixer
TIMEZONE-ID:Asia/Kolkata
X-PUBLISHED-TTL:PT12H
X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:Time-Series Models for Demand Forecasting
DTSTART:20230527T094500Z
DTEND:20230527T103000Z
DTSTAMP:20260421T195317Z
UID:session/KGn7hWUSPMw5yPfkYGiFyp@hasgeek.com
SEQUENCE:1
CREATED:20230618T012625Z
DESCRIPTION:Lavanya Tekumalla is currently an ML Consultant at Sortly. Wit
 h an impressive 15+ years of ML exp at giants such as Amazon\, InMobi\, My
 ntra\, and Kenome\, and a PhD in ML from IISc\, Lavanya brings a depth of 
 industry + academia knowledge to the table.\n\nIn this talk\, she shares h
 er experience of taming different time-series models for specific forecast
 ing tasks.
LAST-MODIFIED:20230618T012704Z
LOCATION:Koramangala
ORGANIZER;CN=GenerativeAI:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/generativeAI/women-in-ai-meetup/schedule/time-seri
 es-models-for-demand-forecasting-KGn7hWUSPMw5yPfkYGiFyp
BEGIN:VALARM
ACTION:display
DESCRIPTION:Time-Series Models for Demand Forecasting in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Latest Advancements in Cross-Domain Recommendation Systems
DTSTART:20230527T103000Z
DTEND:20230527T111500Z
DTSTAMP:20260421T195317Z
UID:session/KLuzhvZaR3f4XtJcQPxwZo@hasgeek.com
SEQUENCE:3
CREATED:20230618T012518Z
DESCRIPTION:Shubha Shedthikere\, currently serving as the Senior Manager\,
  Data Science @ Swiggy via Rivigo\, Near.co\, Delphi and research(PhD) at 
 IISc\, comes with over 10+ years of extensive experience in practising Mac
 hine Learning and Engineering. \n\nHere she talks about the latest advance
 ments in cross-domain recommendation systems\, drawing from her practical 
 enterprise experience at Swiggy\, e.g. using food delivery domain's data t
 o provide better recommendations in online grocery delivery.\n
LAST-MODIFIED:20230618T012648Z
LOCATION:Koramangala
ORGANIZER;CN=GenerativeAI:MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/generativeAI/women-in-ai-meetup/schedule/latest-ad
 vancements-in-cross-domain-recommendation-systems-KLuzhvZaR3f4XtJcQPxwZo
BEGIN:VALARM
ACTION:display
DESCRIPTION:Latest Advancements in Cross-Domain Recommendation Systems in 
 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
END:VCALENDAR