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Probability as Logical Inference: a dramatic reading of E.T. Jaynes' textbook - Benji Metha 

Machine Learning and AI Meetup
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From the January 2024 Machine Learning & AI Meetup: www.meetup.com/machine-learning-ai-meetup/events/293542342/
Talk Description: What is probability? When we say an event has a probability of 0.9, what do we mean? Ask a Bayesian and a Frequentist, and they'll probably (whatever that means) give you two very different answers. In this talk, I present an interpretation from 20th century physicist E. T. Jaynes, wherein probabilities are treated as an extension of the concepts of "true" and "false" to situations where not all information is known -- with some delightful consequences.
Speaker Bio: Benji Metha is a late-stage astronomy PhD student at the University of Melbourne. He is a pioneer in using methods from spatial statistics for analysis of high-resolution galaxy data, and is an outspoken advocate for Doing Maths Right™.
Link to Slides: drive.google.com/file/d/1SD67...

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8 фев 2024

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Комментарии : 2   
@robertoslepetys9230
@robertoslepetys9230 5 месяцев назад
Good quick presentation! I loved the book from Jaynes, it was really mind opening.
@mattphillips538
@mattphillips538 2 месяца назад
We've "had 0 for False and 1 for True" since Boole adopted that convention in the 19th century.
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