Bellot Learning Probabilistic

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

Mastering Java Machine Learning  eBooks & eLearning

Posted by AlenMiler at Aug. 13, 2017
Mastering Java Machine Learning

Mastering Java Machine Learning by Dr. Uday Kamath
English | 11 July 2017 | ASIN: B01KOG6SW8 | ISBN: 1785880519 | 556 Pages | AZW3 | 22.92 MB

Mastering Java Machine Learning  eBooks & eLearning

Posted by naag at July 13, 2017
Mastering Java Machine Learning

Mastering Java Machine Learning
English | 2017 | ISBN-10: 1785880519 | 556 pages | PDF/MOBI/EPUB (conv) | 20 Mb | Project file 141 MB

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning

Neural Networks and Statistical Learning [Repost]  eBooks & eLearning

Posted by ChrisRedfield at June 5, 2014
Neural Networks and Statistical Learning [Repost]

Ke-Lin Du, ‎M. N. S. Swamy - Neural Networks and Statistical Learning
Published: 2013-12-27 | ISBN: 144715570X | PDF | 824 pages | 13 MB

Neural Networks and Statistical Learning  eBooks & eLearning

Posted by nebulae at Jan. 18, 2014
Neural Networks and Statistical Learning

Ke-Lin Du, M. N. S. Swamy, "Neural Networks and Statistical Learning"
English | ISBN: 144715570X | 2014 | 850 pages | PDF | 13 MB

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.

Building Probabilistic Graphical Models with Python (repost)  eBooks & eLearning

Posted by interes at June 12, 2016
Building Probabilistic Graphical Models with Python (repost)

Building Probabilistic Graphical Models with Python by Kiran R Karkera
English | 2014 | ISBN: 1783289007 | 172 pages | PDF | 4,3 MB

Machine Learning: A Probabilistic Perspective  eBooks & eLearning

Posted by enmoys at Dec. 8, 2012
Machine Learning: A Probabilistic Perspective

Machine Learning: A Probabilistic Perspective By Kevin P. Murphy
2012 | 1104 Pages | ISBN: 0262018020 | PDF | 26 MB

Design and Analysis of Learning Classifier Systems: A Probabilistic Approach  eBooks & eLearning

Posted by tot167 at June 19, 2008
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach

Jan Drugowitsch “Design and Analysis of Learning Classifier Systems: A Probabilistic Approach"
Springer | 2008-05-29 | ISBN: 354079865X | 268 pages | PDF | 3,2 MB

Machine Learning Algorithms  eBooks & eLearning

Posted by readerXXI at Sept. 21, 2017
Machine Learning Algorithms

Machine Learning Algorithms
by Giuseppe Bonaccorso
English | 2017 | ISBN: 1785889621 | 352 Pages | True PDF | 10 MB