Graphical Models: Representations For Learning

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

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

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

Posted by arundhati at Sept. 21, 2014
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
Compact Representations for the Design of Quantum Logic (SpringerBriefs in Physics)

Compact Representations for the Design of Quantum Logic (SpringerBriefs in Physics) by Philipp Niemann
English | 1 Sept. 2017 | ISBN: 3319637231 | 136 Pages | EPUB | 1.67 MB

This book discusses modern approaches and challenges of computer-aided design (CAD) of quantum circuits with a view to providing compact representations of quantum functionality. Focusing on the issue of quantum functionality,

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

Bayesian Network Technologies: Applications and Graphical Models (Repost)  eBooks & eLearning

Posted by manamba13 at Jan. 23, 2015
Bayesian Network Technologies: Applications and Graphical Models (Repost)

Bayesian Network Technologies: Applications and Graphical Models by Ankush Mittal
English | 2007 | ISBN: 1599041413 | 369 Pages | PDF | 8 MB

Bayesian networks are now being used in a variety of artificial intelligence applications.

Unifying the Mind: Cognitive Representations as Graphical Models  eBooks & eLearning

Posted by nebulae at Jan. 16, 2015
Unifying the Mind: Cognitive Representations as Graphical Models

David Danks, "Unifying the Mind: Cognitive Representations as Graphical Models"
English | ISBN: 0262027992 | 2014 | 304 pages | PDF | 5 MB

Bayesian Network Technologies: Applications and Graphical Models  eBooks & eLearning

Posted by rainbowl76 at Jan. 14, 2009
Bayesian Network Technologies: Applications and Graphical Models

Bayesian Network Technologies: Applications and Graphical Models
IGI Publishing |2007-03-30 | ISBN: 1599041413 | 256pages | PDF | 5MB

Bayesian networks are now being used in a variety of artificial intelligence applications. These networks are high-level representations of probability distributions over a set of variables that are used for building a model of the problem domain.

Visualization Tools for Learning Environment Development  eBooks & eLearning

Posted by AvaxGenius at Oct. 18, 2017
Visualization Tools for Learning Environment Development

Visualization Tools for Learning Environment Development By Joseph Frantiska, Jr.
English | PDF,EPUB | 2017 (2018 Edition) | 61 Pages | ISBN : 3319674390 | 2.22 MB

This brief discusses and explains how an educator can use various tools (Use Case, IPO diagrams, flowcharts, entity-relationship diagrams, information mapping) to help visualize how a learning environment will work. Such tools were originally developed for use by software engineers but as the complexity of learning environments has increased with various interfaces and processing, both educators and students have developed a need to understand the design and development of visualization tools.

Mentoring for Learning: "Climbing the Mountain"  eBooks & eLearning

Posted by step778 at Oct. 12, 2017
Mentoring for Learning: "Climbing the Mountain"

Harm Tillema, Gert J. van der Westhuizen, Kari Smith, "Mentoring for Learning: "Climbing the Mountain""
2015 | pages: 355 | ISBN: 9463000569 | PDF | 10,0 mb
Advanced Analytics with Spark: Patterns for Learning from Data at Scale, 2nd Edition

Advanced Analytics with Spark: Patterns for Learning from Data at Scale, 2nd Edition by Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills
English | July 6th, 2017 | ISBN: 1491972955, 9781491972953 | 275 pages | True PDF | 5.21 MB

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.