Knowledge Machines

Deploying and Managing Azure IaaS Virtual Machines (2016)  eBooks & eLearning

Posted by naag at Sept. 16, 2016
Deploying and Managing Azure IaaS Virtual Machines (2016)

Deploying and Managing Azure IaaS Virtual Machines
September 2016 | MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 548 MB
Genre: eLearning | Language: English

This course aims to give you the knowledge to architect and deploy solutions using Azure IaaS, as well as how to utilize other Azure services in an optimal manner.

Knowledge Discovery with Support Vector Machines  

Posted by step778 at Feb. 25, 2015
Knowledge Discovery with Support Vector Machines

Lutz H. Hamel, "Knowledge Discovery with Support Vector Machines"
2009 | pages: 267 | ISBN: 0470371927 | PDF | 2 mb
Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering

Colette Faucher, ‎Lakhmi C. Jain - Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering
Published: 2013-12-02 | ISBN: 3319018655 | PDF | 412 pages | 10 MB
Computational Framework for Knowledge: Integrated Behavior of Machines (repost)

Computational Framework for Knowledge: Integrated Behavior of Machines by Syed V. Ahamed
English | 2009-08-03 | ISBN: 0470446862 | 563 pages | PDF | 15.9 mb

This book combines philosophical, societal, and artificial intelligence concepts with those of computer science and information technology to demonstrate novel ways in which computers can simplify data mining on the Internet.
Computational Framework for Knowledge: Integrated Behavior of Machines (repost)

Syed V. Ahamed, "Computational Framework for Knowledge: Integrated Behavior of Machines"
1 Edition | English | 2009-08-03 | ISBN: 0470446862 | 563 pages | PDF | 15.9 mb

This book combines philosophical, societal, and artificial intelligence concepts with those of computer science and information technology to demonstrate novel ways in which computers can simplify data mining on the Internet. It describes numerous innovative methods that go well beyond information retrieval to allow computers to accomplish such tasks as processing, classifying, prioritizing, and reconstituting knowledge.
Computational Framework for Knowledge: Integrated Behavior of Machines (Repost)

Syed V. Ahamed, "Computational Framework for Knowledge: Integrated Behavior of Machines"
Wiley; 1 Edition | English | 2009-08-03 | ISBN: 0470446862 | 563 pages | PDF | 15.9 mb

Computational Framework for Knowledge: Integrated Behavior of Machines (repost)  eBooks & eLearning

Posted by hambu at April 21, 2010
Computational Framework for Knowledge: Integrated Behavior of Machines (repost)

Syed V. Ahamed, "Computational Framework for Knowledge: Integrated Behavior of Machines"
Publisher: Wiley | ISBN: 0470446862 | 2009 | PDF | 538 pages | 15 Mb

Foundations of Knowledge Acquisition: Machine Learning  eBooks & eLearning

Posted by johinson at March 22, 2010
1268991
Alan L. Meyrowitz, Susan Chipman, «Foundations of Knowledge Acquisition: Machine Learning»
Springer | ISBN: 0792392787 | 1993 | PDF | 352 pages | 17.02 MB

he two volumes of Foundations of Knowledge Acquisition document the recent progress of basic research in knowledge acquisition sponsored by the Office of Naval Research. This volume is subtitled Machine Learning, and there is a companion volume subtitled Cognitive Models of Complex Learning. Funding was provided by a five-year Accelerated Research Initiative (ARI), and made possible significant advances in the scientific understanding of how machines and humans can acquire new knowledge so as to exhibit improved problem-solving behavior. Significant progress in machine learning is reported along a variety of fronts. Chapters in Machine Learning include work in analogical reasoning; induction and discovery; learning and planning; learning by competition, using genetic algorithms; and theoretical limitations. Knowledge acquisition as pursued under the ARI was a coordinated research thrust into both machine learning and human learning. Chapters in Cognitive Modles of Complex Learning, also published by Kluwer Academic Publishers, include summaries of work by cognitive scientists who do computational modeling of human learning. In fact, an accomplishment of research previously sponsored by ONR's Cognitive Science Program was insight into the knowledge and skills that distinguish human novices from human experts in various domains; the Cognitive interest in the ARI was then to characterize how the transition from novice to expert actually takes place. These volumes of Foundations of Knowledge Acquisition serve as excellent reference sources by bringing together descriptions of recent and on-going research at the forefront of progress in one of the most challenging arenas of artificial intelligence and cognitive science. In addition, contributing authors comment on exciting future directions for research.
Building the Trident Network: A Study of the Enrollment of People, Knowledge, and Machines (repost)

Building the Trident Network: A Study of the Enrollment of People, Knowledge, and Machines (Inside Technology)
The MIT Press | ISBN: 0262133970 | November 1, 2001 | 279 pages | PDF | 8 MB

In Building the Trident Network, Maggie Mort approaches the United Kingdom’s Trident submarine and missile system as a sociotechnical network. Drawing on the sociology of scientific and technical knowledge and on actor-network theory, Mort recounts how the Trident program was stabilized in the United Kingdom and brought into "successful" production. She uncovers the nature of this success by retelling unofficial histories of Trident, of production roads not taken, and of potential technological "distractions." The production of Trident, she shows, was not inevitable but contingent and problematic.

Computational Framework for Knowledge: Integrated Behavior of Machines  eBooks & eLearning

Posted by hambu at Oct. 18, 2009
Computational Framework for Knowledge: Integrated Behavior of Machines

Syed V. Ahamed, "Computational Framework for Knowledge: Integrated Behavior of Machines"
Publisher: Wiley | ISBN: 0470446862 | 2009 | PDF | 538 pages | 15 Mb