Graphical Models: Representations For Learning

Graphical Models: Representations for Learning, Reasoning and Data Mining (2nd Edition)

Christian Borgelt, Matthias Steinbrecher, "Graphical Models: Representations for Learning, Reasoning and Data Mining (2nd Edition)"
2009 | ISBN-10: 047072210X | 404 pages | PDF | 2 MB

Building Probabilistic Graphical Models with Python (repost)  eBooks & eLearning

Posted by interes at June 12, 2016
Building Probabilistic Graphical Models with Python (repost)

Building Probabilistic Graphical Models with Python by Kiran R Karkera
English | 2014 | ISBN: 1783289007 | 172 pages | PDF | 4,3 MB

Learning in Graphical Models  eBooks & eLearning

Posted by step778 at June 10, 2016
Learning in Graphical Models

M.I. Jordan, "Learning in Graphical Models"
2013 | pages: 617 | ISBN: 9401061041 | DJVU | 6,3 mb

Graphical Models for Machine Learning and Digital Communication  eBooks & eLearning

Posted by step778 at June 8, 2016
Graphical Models for Machine Learning and Digital Communication

Brendan J. Frey, "Graphical Models for Machine Learning and Digital Communication"
1998 | pages: 203 | ISBN: 026206202X | DJVU | 1,6 mb

Learning Probabilistic Graphical Models in R  eBooks & eLearning

Posted by Grev27 at May 14, 2016
Learning Probabilistic Graphical Models in R

David Bellot, "Learning Probabilistic Graphical Models in R"
English | ISBN: 1784392057 | 2016 | PDF/EPUB/MOBI | 250 pages | 4 MB/7 MB/11 MB
Graphical Models for Security: Second International Workshop, GraMSec 2015, Verona, Italy, July 13, 2015

Sjouke Mauw and Barbara Kordy, "Graphical Models for Security: Second International Workshop, GraMSec 2015, Verona, Italy, July 13, 2015"
English | ISBN: 3319299670 | 2016 | 116 pages | PDF | 6 MB

Coursera: Probabilistic Graphical Models  eBooks & eLearning

Posted by ParRus at Feb. 17, 2016
Coursera: Probabilistic Graphical Models

Coursera: Stanford University - Probabilistic Graphical Models
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC ~39.6 kbps | 15 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 23:25:47 | 1.36 GB
Genre: eLearning Video / Computer Science, Engineering and Technology

What are Probabilistic Graphical Models? Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will happen in the future, and even in the present and the past, many important aspects of the world are not observed with certainty. Probability theory gives us the basic foundation to model our beliefs about the different possible states of the world, and to update these beliefs as new evidence is obtained. These beliefs can be combined with individual preferences to help guide our actions, and even in selecting which observations to make. While probability theory has existed since the 17th century, our ability to use it effectively on large problems involving many inter-related variables is fairly recent, and is due largely to the development of a framework known as Probabilistic Graphical Models (PGMs).
Mastering Probabilistic Graphical Models Using Python (Repost)

Mastering Probabilistic Graphical Models Using Python By Ankur Ankan, Abinash Panda
2015 | 284 Pages | ISBN: 1784394688 | PDF | 17 MB
Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) (Repost)

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) By Luis Enrique Sucar
2015 | 267 Pages | ISBN: 1447166981 | PDF | 6 MB
Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) (Repost)

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition) By Luis Enrique Sucar
2015 | 267 Pages | ISBN: 1447166981 | PDF | 8 MB