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Can I read Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) on EtoBox?
Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) by Luis Enrique Sucar (auth.) is a computer science book available to read on EtoBox.
What is Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) about?
<p>This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision processes, causal graphical models, causal discovery and deep learning, as well as an even greater number of exercises; it also incorporates a software library for several graphical models in Python.</p>The book covers the fundamentals for each of the
Who reads Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Luis Enrique Sucar (auth.)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9783030619442
- Category
- computer science
- Subjects
- Engineering, Mathematics, Science
- Updated
- 2026-03-25
Other editions & translations
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