Posted by **naag** at March 22, 2017

English | ISBN: 0199456666 | 2015 | 692 pages | EPUB | 27 MB

Algorithms: Design and Analysis of is a textbook designed for the undergraduate and postgraduate students of computer science engineering, information technology, and computer applications. It helps the students to understand the fundamentals and applications of algorithms.

Posted by **naag** at March 20, 2017

2015 | 100 Pages | ISBN: 3319204475 | EPUB | 0.3 MB

Posted by **hill0** at March 16, 2017

English | 9 Jan. 2017 | ISBN: 3319457950 | 456 Pages | EPUB | 2.38 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations.

Posted by **Grev27** at Feb. 26, 2017

English | ISBN: 1785888730 | 2017 | EPUB | 394 pages | 10,4 MB

Posted by **ksveta6** at Feb. 19, 2017

2015 | ISBN: 3319249649 | English | 367 pages | EPUB | 4 MB

Posted by **interes** at Feb. 8, 2017

English | 2013 | ISBN-10: 1449341330 | PDF + EPUB | 88 pages | 7 + 4 MB

Posted by **Bayron** at Jan. 27, 2017

English | 2011 | ISBN: 819324527X | 434 pages | EPUB | 56 MB

Posted by **AlenMiler** at Jan. 15, 2017

English | 29 Dec. 2011 | ISBN: 819210754X | 432 Pages | AZW3/MOBI/EPUB/PDF (conv) | 228.54 MB

"Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms.

Posted by **AlenMiler** at Jan. 15, 2017

English | 20 Aug. 2013 | ISBN: 8192107558 | 450 Pages | AZW3/MOBI/EPUB/PDF (conv) | 201.78 MB

Peeling Data Structures and Algorithms Made Easy In Java: Data Structure and Algorithmic Puzzles.

Posted by **AlenMiler** at Nov. 20, 2016

English | 29 Apr. 2016 | ISBN: 1540324001 | 282 Pages | MOBI/EPUB/PDF | 4.49 MB

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.