Implicit Learning

Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing (repost)  eBooks & eLearning

Posted by Veslefrikk at Jan. 11, 2015
Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing (repost)

Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing By Axel Cleeremans
Publisher: The M.I.T Press 1993 | 243 Pages | ISBN: 0262032058 | CHM | 1 MB

Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing  eBooks & eLearning

Posted by lout at Aug. 31, 2011
Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing

Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing By Axel Cleeremans
Publisher: The M.I.T Press 1993 | 243 Pages | ISBN: 0262032058 | CHM | 1 MB

Implicit and Explicit Learning of Languages  eBooks & eLearning

Posted by interes at Nov. 2, 2015
Implicit and Explicit Learning of Languages

Implicit and Explicit Learning of Languages (Studies in Bilingualism) by Patrick Rebuschat
English | 2015 | ISBN: 9027241899, 9027241902 | 511 pages | PDF | 6 MB

Unsupervised Learning: Foundations of Neural Computation (Repost)  eBooks & eLearning

Posted by step778 at Jan. 19, 2015
Unsupervised Learning: Foundations of Neural Computation (Repost)

Geoffrey Hinton, Terrence J. Sejnowski, "Unsupervised Learning: Foundations of Neural Computation"
1999 | pages: 350 | ISBN: 026258168X | CHM | 3,1 mb

Cerebellum: The Brain for an Implicit Self  eBooks & eLearning

Posted by ChrisRedfield at Oct. 29, 2014
Cerebellum: The Brain for an Implicit Self

Masao Ito - Cerebellum: The Brain for an Implicit Self
Published: 2011-08-15 | ISBN: 0137050682 | PDF + EPUB + MOBI | 320 pages | 16 MB

Unsupervised Learning: Foundations of Neural Computation  eBooks & eLearning

Posted by SKS1981 at June 3, 2009
Unsupervised Learning: Foundations of Neural Computation

Unsupervised Learning: Foundations of Neural Computation
Publisher: The MIT Press | ISBN: 026258168X | edition 1999 | PDF | 350 pages | 3,05 mb

This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Learning Java EE 7 [repost]  eBooks & eLearning

Posted by naag at Jan. 8, 2017
Learning Java EE 7 [repost]

Learning Java EE 7

MP4 | AVC1 @ 500 Kbit/s | 1280x720 | AAC Stereo @ 128 Kbit/s 48 KHz | 7+ Hours | 996 MB
Genre: Web Development | Language: English | Working Files Included

In this Java EE 7 training course, expert author Brian Gorman teaches you the concepts, tools, and functions you will need to know in order to build websites using Oracle’s popular Java Enterprise Edition programming language.

Learning Path: Android App Developer  eBooks & eLearning

Posted by FenixN at Oct. 14, 2016
Learning Path: Android App Developer

Learning Path: Android App Developer
HDRips | MP4/AVC, ~2000 kb/s | 1280x720 | Duration: 24:06:00 | English: AAC, 128 kb/s (2 ch) | 9.95 GB
Genre: Development / Programming

This Learning Path includes Android 6 App Development LiveLessons, Part 1 and 2.

Exploring Implicit Cognition: Learning, Memory, and Social Cognitive Processes  eBooks & eLearning

Posted by arundhati at July 20, 2015
Exploring Implicit Cognition: Learning, Memory, and Social Cognitive Processes

Zheng Jin, "Exploring Implicit Cognition: Learning, Memory, and Social Cognitive Processes"
2015 | ISBN-10: 1466665998 | 394 pages | PDF | 4 MB

Computational Trust Models and Machine Learning (Repost)  eBooks & eLearning

Posted by roxul at June 17, 2015
Computational Trust Models and Machine Learning (Repost)

Xin Liu, "Computational Trust Models and Machine Learning"
English | ISBN: 1482226669 | 2014 | 232 pages | PDF | 2 MB