Posted by **exLib** at Jan. 31, 2018

ITexLi | 2018 | ISBN: 9535137735 9789535137733 9535137727 9789535137726 | 182 pages | PDF | 13 MB

This book is prepared as a combination of the manuscripts submitted by respected mathematicians and scientists around the world. Not only will the methods and explanations help you to understand more about graph theory, but I also hope you will find it joyful to discover ways that you can apply graph theory in your scientific field.

Posted by **naag** at Nov. 10, 2015

MP4 | Video: 1280x720 | 55 kbps | 44 KHz | Duration: 7 Hours | 1.43 GB

Learn how to create robust algorithms on your own

Posted by **naag** at June 7, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 15M | 405 MB

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed. It explores the study and construction of algorithms that can learn from and make predictions on data. The R language is widely used among statisticians and data miners to develop statistical software and data analysis.

Posted by **interes** at Nov. 24, 2015

English | 2015 | ISBN: 1498732534 | 259 pages | PDF | 5 MB

Posted by **tanas.olesya** at Nov. 16, 2014

CRC Press; 1 edition | November 20, 2000 | English | ISBN: 0750306653 | 305 pages | PDF | 26 MB

Evolutionary Computation 2: Advanced Algorithms and Operators expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms.

Posted by **arundhati** at May 9, 2014

1990 | ISBN-10: 3540534024 | 292 pages | Djvu | 4 MB

Posted by **wesamelshamy** at July 9, 2006

270 pages | Taylor & Francis | ISBN: 0750306653

“This volume expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation and implementation of evolutionary algorithms. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation”.

Posted by **insetes** at Dec. 26, 2017

2013 | 322 Pages | ISBN: 1430266198 | EPUB, MOBI, PDF | 3 MB + 6 MB + 8 MB

Posted by **Grev27** at March 27, 2018

English | ISBN: 0201316633 | 2001 | PDF | 512 pages | 15 MB

Posted by **AlexGolova** at March 20, 2018

English | 16 Aug. 2001 | ISBN: 0201316633 | 500 Pages | MOBI | 5.77 MB