Posted by **fdts** at Jan. 10, 2017

by Mario Martelli

English | 1999 | ISBN: 0471319759 | 334 pages | PDF | 3.66 MB

Posted by **step778** at Nov. 5, 2014

2008 | pages: 776 | ISBN: 0387333320 | PDF | 8 mb

Posted by **tukotikko** at Aug. 8, 2013

1999 | 334 Pages | ISBN: 0471319759 | PDF | 5 MB

Posted by **interes** at May 26, 2016

English | 2016 | ISBN: 1119039851 | 616 pages | PDF | 40,3 MB

Posted by **ksveta6** at Aug. 30, 2017

2017 | ISBN: 3319536907 | English | 384 pages | EPUB | 5 MB

Posted by **AvaxGenius** at Aug. 20, 2017

English | PDF | 2017 | 135 Pages | ISBN : 3662550067 | 1.87 MB

This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts.

Posted by **lengen** at Aug. 17, 2017

English | Apr. 29, 2014 | ISBN: 1938159004 | 260 Pages | PDF | 3 MB

Concepts of discrete mathematics can help clarify a programmer's thinking about software design problems and can make many solutions obvious. Starting at an elementary level, this book teaches about fundamental structures of discrete mathematics and many simple but powerful programming techniques using those structures.

Posted by **AvaxGenius** at Aug. 8, 2017

English | PDF | 1992 | 304 Pages | ISBN : 038797637X | 26.7 MB

The theory of Hamiltonian systems is a vast subject which can be studied from many different viewpoints. This book develops the basic theory of Hamiltonian differential equations from a dynamical systems point of view. That is, the solutions of the differential equations are thought of as curves in a phase space and it is the geometry of these curves that is the important object of study. The analytic underpinnings of the subject are developed in detail.

Posted by **Underaglassmoon** at Aug. 7, 2017

Artech House | English | 2017 | ISBN-10: 1630813311 | 214 pages | PDF | 6.24 mb

by Paolo Volpato (Author)

Posted by **U.N.Owen** at July 14, 2017

Size: 179 MB | Duration: 1h 39m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch

Discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations.