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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.
Zakup książki
Probabilistic Graphical Models, Luis Enrique Sucar
- Język
- Rok wydania
- 2021
- Oprawa
- (miękka)
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- Tytuł
- Probabilistic Graphical Models
- Podtytuł
- Principles and Applications
- Język
- angielski
- Autorzy
- Luis Enrique Sucar
- Rok wydania
- 2021
- Oprawa
- miękka
- Liczba stron
- 384
- ISBN13
- 9783030619459
- Seria
- Kategorie
- Tagi
- Podręczniki
- Ocena
- 5 z 5
- Opis
- 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.