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CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:3bcf8937d87d1950e10bf4a4e34354a6@nagoya.tech
SUMMARY:August Meetup: Proving Causal Impact with Data
DESCRIPTION:WHEN: SAT\, AUG 29WHERE: @star_robox Two blocks from Horita Sta
 tionShimosakacho\, 1 Chome−27 1階TOPIC: "Did That New Feature Actually W
 ork?\nA Beginner's Guide to Proving Cause and Effect with Data" by Felipe S
 antos-Marquez.\nSay you launch a new feature and more people stick around a
 fterward. Awesome\, right? But here's the catch: maybe those users were alr
 eady the type who stick around\, feature or not.\nSo how do you actually pr
 ove the feature was the reason\, and not just a coincidence That's what thi
 s talk is about. It's an easy introduction to "causal inference\," which is
  basically a set of data science and AI adjacent techniques used to figure 
 out real cause and effect from data\, instead of just guessing or assuming.
 \nAll audiences welcome\, whether you work in tech\, business\, or are just
  curious.\nSee you then!
LOCATION:STAR ROBOX
DTSTAMP:20260730T222717Z
DTSTART:20260829T100000Z
DTEND:20260829T120000Z
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