Overview: Conditional Probability Queries

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Kompetenzen, die Sie erwerben

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

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4.6 (471 Bewertungen)

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LL

11. März 2017

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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.

YP

28. Mai 2017

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I learned pretty much from this course. It answered my quandaries from the representation course, and as well deepened my understanding of PGM.

Aus der Unterrichtseinheit

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).

Unterrichtet von

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    Daphne Koller

    Professor

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