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Probabilistic Graphical Models

Principles and Applications

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The book offers a comprehensive introduction to probabilistic graphical models (PGMs) tailored for engineering students. This updated edition includes fresh insights into partially observable Markov decision processes, causal graphical models, and deep learning. Enhanced with numerous exercises, it also features a software library for implementing various graphical models in Python, making it a practical resource for both learning and application.

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Probabilistic Graphical Models, Luis Enrique Sucar

Taal
Jaar van publicatie
2021
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Titel
Probabilistic Graphical Models
Ondertitel
Principles and Applications
Taal
Engels
Jaar van publicatie
2021
Formaat
Paperback
Aantal pagina's
384
ISBN13
9783030619459
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Beoordeling
5 van 5
Aantekening
The book offers a comprehensive introduction to probabilistic graphical models (PGMs) tailored for engineering students. This updated edition includes fresh insights into partially observable Markov decision processes, causal graphical models, and deep learning. Enhanced with numerous exercises, it also features a software library for implementing various graphical models in Python, making it a practical resource for both learning and application.