Probabilistic Graphical Models: Principles And Techniques

Probabilistic Graphical Models: Principles and Techniques  eBooks & eLearning

Posted by nebulae at Dec. 19, 2014
Probabilistic Graphical Models: Principles and Techniques

Daphne Koller and N Friedman, "Probabilistic Graphical Models: Principles and Techniques"
English | ISBN: 0262013193 | 2010 | 1208 pages | PDF | 130 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

Probabilistic Graphical Models: Principles and Applications (Repost)  eBooks & eLearning

Posted by roxul at Aug. 18, 2015
Probabilistic Graphical Models: Principles and Applications (Repost)

Luis Enrique Sucar, "Probabilistic Graphical Models: Principles and Applications"
English | ISBN: 1447166981 | 2015 | 280 pages | True PDF | 9 MB

Probabilistic Graphical Models: Principles and Applications  eBooks & eLearning

Posted by nebulae at July 20, 2015
Probabilistic Graphical Models: Principles and Applications

Luis Enrique Sucar, "Probabilistic Graphical Models: Principles and Applications"
English | ISBN: 1447166981 | 2015 | 280 pages | True PDF | 9 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

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  eBooks & eLearning

Posted by AlenMiler at Aug. 13, 2015
Mastering Probabilistic Graphical Models using Python

Mastering Probabilistic Graphical Models using Python by Ankur Ankan
English | 26 July 2015 | ISBN: 1784394688 | 284 Pages | EPUB/MOBI/PDF (True) | 34.35 MB
With: Code Files

If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.

Data and Information Quality: Dimensions, Principles and Techniques  eBooks & eLearning

Posted by AvaxGenius at Feb. 27, 2017
Data and Information Quality: Dimensions, Principles and Techniques

Data and Information Quality: Dimensions, Principles and Techniques By Carlo Batini, Monica Scannapieco
English | EPUB | 2016 | 500 Pages | ISBN : 3319241044 | 7.79 MB

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems.

Principles and Techniques in Combinatorics (repost)  eBooks & eLearning

Posted by interes at Feb. 3, 2017
Principles and Techniques in Combinatorics (repost)

Principles and Techniques in Combinatorics by Chen Chuan-Chong, Koh Khee-Meng
English | 1992 | ISBN: 9810211392 | 312 pages | Djvu | 3 MB