Probability and Machine Learning
In person
- When
- Times are shown in the venue time zone (America/New York, UTC−5).
- Where
- Format
- In person
- Topics
- AI & MLData & Analytics
- Price
- Not specified
About the event
A one-hour interactive session on probability and machine learning. Participants trace how binary cross-entropy arises from a Bernoulli likelihood and multiclass cross-entropy from a categorical distribution, and discuss why the name fits and what minimizing the loss means for the gap between model predictions and the true data. The session also explains why ordinary MSE is the wrong tool for 0/1 labels and where logistic regression and softmax fit in.
Machine-translated
Sources
Information was collected from these websites. Please verify details with the organizer.
- Meetup: machine-learning-workshopwww.meetup.com · checked 7 November 2026