Black Friday 2024: 25+ Ways to Save on Online Learning
Semantic Models for Higher-Order Bayesian Inference - Sam Staton, University of Oxford

Semantic Models for Higher-Order Bayesian Inference - Sam Staton, University of Oxford

Alan Turing Institute via YouTube Direct link

Intro

1 of 10
Next

1 of 10

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Semantic Models for Higher-Order Bayesian Inference - Sam Staton, University of Oxford

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Intro
  2. 2 A spectrum of modelling methods
  3. 3 Motivation
  4. 4 Probabilistic programming
  5. 5 Example
  6. 6 Bayesian regression
  7. 7 Semantic models
  8. 8 Synthetic measure theory
  9. 9 Random elements
  10. 10 Modular inference algorithms

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.