Posted by **viserion** at Dec. 25, 2016

ISBN: 0486655369 | 1987 | EPUB | 256 pages | 17 MB

Posted by **tarantoga** at April 26, 2014

ISBN: 0486655369 | 1987 | EPUB | 256 pages | 17 MB

Posted by **roxul** at March 15, 2016

English | ISBN: 3319249088 | 2016 | 276 pages | PDF | 10 MB

Posted by **roxul** at Feb. 13, 2015

English | ISBN: 1420082507 | 2008 | 448 pages | PDF | 8 MB

Posted by **Tamaar** at June 17, 2018

Posted by **AvaxGenius** at June 12, 2018

Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data.

Posted by **DZ123** at June 9, 2018

English | 2010 | ISBN: 0857290541 | PDF | pages: 260 | 3.2 mb

Posted by **step778** at May 4, 2018

2005 | pages: 245 | ISBN: 9067644323 | PDF | 2,0 mb

Posted by **AlexGolova** at March 18, 2018

English | 30 Apr. 2012 | ASIN: B00CB2MLIE | 1046 Pages | AZW3 | 80.92 MB

Posted by **AvaxGenius** at Feb. 26, 2018

English | PDF,EPUB | 2018| 287 Pages | ISBN : 1484234227 | 5 MB

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.