BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pycon-lt-2023//speaker//JWMX3U
BEGIN:VTIMEZONE
TZID:EET
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20011231T220000Z
TZNAME:EET
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:STANDARD
BEGIN:STANDARD
DTSTART:20031026T050000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:EET
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20030330T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:EEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pycon-lt-2023-QTYMV3@pretalx.com
DTSTART;TZID=EET:20230519T110000
DTEND;TZID=EET:20230519T115500
DESCRIPTION:Are you curious about how recommendation engines work? In this 
 workshop\, we'll dive deep into the world of TensorFlow Recommender System
 s\, exploring the fundamental concepts\, techniques\, and tools needed to 
 build effective recommendation engines. We'll start with an overview of th
 e different types of recommender systems\, including collaborative filteri
 ng\, content-based filtering\, and hybrid models. We'll also explore evalu
 ation metrics and learn how to measure the effectiveness of these models.\
 nThe workshop then shifts to hands-on exercises that allow you to build yo
 ur own recommendation engine using TensorFlow. You'll learn how to prepare
  data\, train the model\, and make recommendations. Through guided example
 s\, you'll gain a practical understanding of the end-to-end process of bui
 lding a recommendation engine.
DTSTAMP:20260411T020553Z
LOCATION:Coral A - Workshop
SUMMARY:The Ultimate Matchmaker: Building Recommender Systems with TensorFl
 ow - Ashmi Banerjee
URL:https://pretalx.com/pycon-lt-2023/talk/QTYMV3/
END:VEVENT
END:VCALENDAR