Become Learning Machine

Learning Machine Translation (Neural Information Processing series)  eBooks & eLearning

Posted by alt_f4 at Sept. 22, 2016
Learning Machine Translation (Neural Information Processing series)

Learning Machine Translation (Neural Information Processing series) by Cyril Goutte
English | Nov. 14, 2008 | ISBN: 0262072971 | 329 Pages | PDF | 5 MB

The Internet gives us access to a wealth of information in languages we don't understand.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World [Audiobook]

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World [Audiobook] by Pedro Domingos
English | September 22, 2015 | ASIN: B014X01SS0, ISBN: 1501299352, 1501299387, 1501299360 | [email protected] kbps | 13 hrs 3 mins | 360 MB
Narrator: Mel Foster
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos
2015 | ISBN: 0465065708 | English | 352 pages | EPUB | 4 MB
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro Domingos, "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World"
ISBN: 0465065708 | 2015 | PDF | 352 pages | 14 MB

Machine Learning Engineer Nanodegree  eBooks & eLearning

Posted by FenixN at Sept. 10, 2016
Machine Learning Engineer Nanodegree

Machine Learning Engineer Nanodegree
HDRips | MP4/AVC, ~989 kb/s | 1280x720 | Duration: N/A | English: AAC, 192 kb/s (2 ch) | 12.8 GB
Genre: Development / Programming

Machine learning represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence. This program will teach you how to become a machine learning engineer, and apply predictive models to massive data sets in fields like finance, healthcare, education, and more.
Proceedings of ELM-2014 Volume 2: Applications (Proceedings in Adaptation, Learning and Optimization)

Proceedings of ELM-2014 Volume 2: Applications (Proceedings in Adaptation, Learning and Optimization) by Jiuwen Cao
English | Dec 9, 2014 | ISBN: 3319140655 | ISBN-13: 978-3319140650 | 400 Pages | PDF | 23 MB

This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM.
Proceedings of ELM-2014 Volume 1: Algorithms and Theories (Proceedings in Adaptation, Learning and Optimization)

Proceedings of ELM-2014 Volume 1: Algorithms and Theories (Proceedings in Adaptation, Learning and Optimization) by Jiuwen Cao
English | Dec 4, 2014 | ISBN: 3319140620 | ISBN-13: 978-3319140629 | 446 Pages | PDF | 15 MB

This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”.

A Connectionist Machine for Genetic Hillclimbing  

Posted by mapusi at March 1, 2015
A Connectionist Machine for Genetic Hillclimbing

A Connectionist Machine for Genetic Hillclimbing (The Springer International Series in Engineering and Computer Science) by David Ackley
English | 1987 | ISBN: 1461291925 | 260 Pages | PDF | 18 MB

In the "black box function optimization" problem, a search strategy is required to find an extremal point of a function without knowing the structure of the function or the range of possible function values. Solving such problems efficiently requires two abilities. On the one hand, a strategy must be capable of learning while searching: It must gather global information about the space and concentrate the search in the most promising regions. On the other hand, a strategy must be capable of sustained exploration: If a search of the most promising region does not uncover a satisfactory point, the strategy must redirect its efforts into other regions of the space. This dissertation describes a connectionist learning machine that produces a search strategy called stochastic iterated genetic hillclimb­ ing (SIGH).
Soft Computing in Machine Learning (Advances in Intelligent Systems and Computing)

Soft Computing in Machine Learning (Advances in Intelligent Systems and Computing) by Sang-Yong Rhee, Jooyoung Park and Atsushi Inoue
English | 2014 | ISBN: 3319055321 | 143 pages | PDF | 10,7 MB

As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis.
Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization)

Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization) by Fuchen Sun, Kar-Ann Toh, Manuel Grana Romay and Kezhi Mao
English | 2014 | ISBN: 331904740X | 225 pages | PDF | 8,5 MB

In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods.