Overview: Conditional Probability Queries

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Destrezas que aprenderás

Inference, Gibbs Sampling, Markov Chain Monte Carlo (MCMC), Belief Propagation

Reseñas

4.6 (476 calificaciones)

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LC

2 de feb. de 2019

Very great course! A lot of things have been learnt. The lectures, quiz and assignments clear up all key concepts. Especially, assignments are wonderful!

LL

11 de mar. de 2017

Thanks a lot for professor D.K.'s great course for PGM inference part. Really a very good starting point for PGM model and preparation for learning part.

De la lección

Inference Overview

This module provides a high-level overview of the main types of inference tasks typically encountered in graphical models: conditional probability queries, and finding the most likely assignment (MAP inference).

Impartido por:

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    Daphne Koller

    Professor

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