Coursera Machine Artificial Intelligence

Artificial Intelligence, Evolutionary Computing and Metaheuristics: In the Footsteps of Alan Turing

Xin-She Yang - Artificial Intelligence, Evolutionary Computing and Metaheuristics: In the Footsteps of Alan Turing
Published: 2012-07-27 | ISBN: 3642296939, 3642437036 | PDF | 796 pages | 14 MB

Coursera - Artificial Intelligence Planning - The University of Edinburgh  eBooks & eLearning

Posted by ParRus at Nov. 5, 2016
Coursera - Artificial Intelligence Planning - The University of Edinburgh

Coursera - Artificial Intelligence Planning - The University of Edinburgh
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~214 kbps | 25 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 12:10:48 | 972 MB
Genre: eLearning Video / Science, Artificial Intelligence, Cybernetics

The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications.

Stanford University - Introduction to Artificial Intelligence [repost]  eBooks & eLearning

Posted by ParRus at Nov. 5, 2016
Stanford University - Introduction to Artificial Intelligence [repost]

Stanford University - Introduction to Artificial Intelligence
WEBRip | English | MP4 + PDF Guide | 640 x 360 | AVC ~250 kbps | 30 fps
AAC | 123 Kbps | 44.1 KHz | 2 channels | ~24 hours | 4.42 GB
Genre: eLearning Video / Science, Cybernetics, Probability

Online Introduction to Artificial Intelligence is based on Stanford CS221, Introduction to Artificial Intelligence. This class introduces students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing. The objective of this class is to teach you modern AI. You learn about the basic techniques and tricks of the trade, at the same level we teach our Stanford students. We also aspire to excite you about the field of AI. Whether you are a seasoned professional, a college student, or a curious high school student - everyone can participate.
Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity

Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity
James Hendler, Alice Mulvehill | 2016 | EPUB, True PDF | ISBN: 148421157X | 174 pages | 2 Mb, 10 Mb

The Mind and the Machine: Should we fear Artificial Intelligence?  eBooks & eLearning

Posted by AlenMiler at Sept. 2, 2016
The Mind and the Machine: Should we fear Artificial Intelligence?

The Mind and the Machine: Should we fear artificial intelligence? by Serge Boisse
English | 22 Aug. 2016 | ISBN: 1535041390 | 572 Pages | PDF | 5.42 MB

Recent advances in understanding the brain and in programming intelligent computers show that we are not far away to achieve a true conscious and creative Artificial Intelligence.

Machine Intelligence: The Death of Artificial Intelligence  eBooks & eLearning

Posted by AlenMiler at April 27, 2016
Machine Intelligence: The Death of Artificial Intelligence

Machine Intelligence: The Death of Artificial Intelligence by John Ball
English | Apr. 13, 2016 | ASIN: B01E9NM1XM | 82 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.7 MB

We sit at the threshold of the next generation of artificial intelligence—the development of true machine intelligence.

Coursera - Machine Learning (2015)  eBooks & eLearning

Posted by house23 at Feb. 17, 2016
Coursera - Machine Learning (2015)

Coursera - Machine Learning (2015)
MP4 | AVC 32kbps | English | 960x540 | 15fps | 19h 53mins | AAC stereo 128kbps | 1.52 GB
Genre: Video Training

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind By Marvin Minsky
2006 | 380 Pages | ISBN: 0743276639 | PDF | 3 MB

Beyond Artificial Intelligence: The Disappearing Human-Machine Divide  eBooks & eLearning

Posted by interes at Nov. 13, 2014
Beyond Artificial Intelligence: The Disappearing Human-Machine Divide

Beyond Artificial Intelligence: The Disappearing Human-Machine Divide (Topics in Intelligent Engineering and Informatics) by Jan Romportl and Eva Zackova
English | 2014 | ISBN: 3319096672 | 219 pages | PDF | 4,7 MB

This book is an edited collection of chapters based on the papers presented at the conference “Beyond AI: Artificial Dreams” held in Pilsen in November 2012. The aim of the conference was to question deep-rooted ideas of artificial intelligence and cast critical reflection on methods standing at its foundations.
Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59) (repost)

Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)
Publisher: World Scientific Pub Co | 2004 | ISBN: 9812387862 | French | PDF | 395 pages | 20.14 Mb

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. …