Best Reference Books for Probabilistic Models
List of "Best Reference Books for Probabilistic Models" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.
- Learning Probabilistic Graphical Models in R by David BellotPackt Publishing Limited (Number of pages: 250)
- Mastering Probabilistic Graphical Models Using Python by Ankur Ankan,Abinash PandaPackt Publishing Limited (Number of pages: 284)
- Building Probabilistic Graphical Models with Python by Kiran R. KarkeraPackt Publishing Limited (Number of pages: 172)
- Probabilistic Models for Nonlinear Partial Differential Equations: Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo ... 22-30, 1995 (Lecture Notes in Mathematics) by Carl Graham,Thomas G. Kurtz,Sylvie Meleard,Philip Protter,Mario Pulvirenti,Denis TalaySpringer (Number of pages: 302)
- Statistical and Probabilistic Models in Reliability (Statistics for Industry and Technology) byBirkhäuser (Number of pages: 352)
- Dynamic Probabilistic Models and Social Structure: Essays on Socioeconomic Continuity (Theory and Decision Library B) by Guillermo L. Gómez M.Springer (Number of pages: 450)
- Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings (Lecture Notes in Computer Science) bySpringer (Number of pages: 598)
- Expert Systems and Probabilistic Network Models (Monographs in Computer Science) by Enrique Castillo,Jose M. Gutierrez,Ali S. HadiSpringer (Number of pages: 605)
- Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics byOUP Oxford (Number of pages: 480)
- Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning) by Rina DechterMorgan and Claypool Life Sciences (Number of pages: 191)
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