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TZID:America/New_York
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DTSTART:19700101T000000
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
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BEGIN:VEVENT
UID:f049797b-e333-4a42-9b57-f2998dc7948f@world-conf
DTSTAMP:20261108T000538Z
LAST-MODIFIED:20261106T042729Z
SEQUENCE:0
DTSTART;TZID=America/New_York:20261107T150000
DTEND;TZID=America/New_York:20261107T160000
SUMMARY:Probability and Machine Learning
URL:http://localhost:8080/en/events/probability-and-machine-learning-2026-1
 1/
DESCRIPTION:A one-hour interactive session on probability and machine learn
 ing. Participants trace how binary cross-entropy arises from a Bernoulli l
 ikelihood and multiclass cross-entropy from a categorical distribution\, a
 nd discuss why the name fits and what minimizing the loss means for the ga
 p between model predictions and the true data. The session also explains w
 hy ordinary MSE is the wrong tool for 0/1 labels and where logistic regres
 sion and softmax fit in.\n\nRegistration: https://www.meetup.com/register?
 returnUri=https%3A%2F%2Fwww.meetup.com%2Fmachine-learning-workshop%2Fevent
 s%2F316738285%2F\nOfficial website: https://www.meetup.com/machine-learnin
 g-workshop/events/316738285\n\nSources:\n- Meetup: machine-learning-worksh
 op: https://www.meetup.com/machine-learning-workshop/events/316738285\n\nh
 ttp://localhost:8080/en/events/probability-and-machine-learning-2026-11/
STATUS:CONFIRMED
CATEGORIES:ai,data
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ACTION:DISPLAY
DESCRIPTION:Probability and Machine Learning
TRIGGER:-PT1440M
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