Mathematics of Poker

The Mathematics of Poker by Bill Chen [Repost]  eBooks & eLearning

Posted by tanas.olesya at Sept. 30, 2015
The Mathematics of Poker by Bill Chen [Repost]

The Mathematics of Poker by Bill Chen
English | 4 Jun. 2009 | ISBN: 1886070253 | 382 Pages | EPUB | 12 MB

For decades, the highest level of poker have been dominated by players who have learned the game by playing it, ""road gamblers"" who have cultivated intuition for the game and are adept at reading other players' hands from betting patterns and physical tells.

The Mathematics of Poker (Repost)  eBooks & eLearning

Posted by elodar at Sept. 3, 2013
The Mathematics of Poker (Repost)

Bill Chen, Jerrod Ankenman, "The Mathematics of Poker"
English | 2006-11-30 | ISBN: 1886070253 | 400 pages | PDF | 179.27 mb

The Mathematics of Various Entertaining Subjects: Research in Recreational Math  eBooks & eLearning

Posted by nebulae at April 8, 2017
The Mathematics of Various Entertaining Subjects: Research in Recreational Math

Jennifer Beineke, "The Mathematics of Various Entertaining Subjects: Research in Recreational Math"
English | ISBN: 0691164037 | 2016 | 288 pages | PDF | 48 MB

Poker Math That Matters - Simplifying the Secrets of No-limit Hold'em (Repost)  eBooks & eLearning

Posted by roxul at Dec. 7, 2016
Poker Math That Matters - Simplifying the Secrets of No-limit Hold'em (Repost)

Owen Gaines, "Poker Math That Matters - Simplifying the Secrets of No-limit Hold'em"
English | ISBN: 061539745X | 2010 | 220 pages | PDF | 3 MB

TTC Video - The Mathematics of Games and Puzzles: From Cards to Sudoku [Repost]  eBooks & eLearning

Posted by IrGens at Dec. 26, 2014
TTC Video - The Mathematics of Games and Puzzles: From Cards to Sudoku [Repost]

TTC Video - The Mathematics of Games and Puzzles: From Cards to Sudoku
Course No. 1401 | .MP4, M4V, 570x320 | English, AAC, 2 Ch | 12x45 mins | 4.4 GB
Lecturer: Professor Arthur T. Benjamin Ph.D. | Genre: eLearning/Mathematics

Poker Math that Matters : Simplifying the Secrets of No-Limit Hold'em (repost)  eBooks & eLearning

Posted by interes at Sept. 6, 2014
Poker Math that Matters : Simplifying the Secrets of No-Limit Hold'em (repost)

Poker Math that Matters : Simplifying the Secrets of No-Limit Hold'em by Owen Gaines
English | ISBN: 061539745X | 2010 | 220 pages | PDF | 3 MB

Learning the math behind good poker has never been easier. Owen's methods and shortcuts will have you applying math at the poker table overnight. This book goes over the math involved in mastering decisions in no-limit hold'em cash games.

TTC Video - The Mathematics of Games and Puzzles: From Cards to Sudoku  eBooks & eLearning

Posted by serpmolot at July 8, 2013
TTC Video - The Mathematics of Games and Puzzles: From Cards to Sudoku

TTC Video - The Mathematics of Games and Puzzles: From Cards to Sudoku
English | mp4 | MPEG4 570x320 | AAC 2 ch 91 kbps | 9 hrs | 4.32 GB
eLearning | Course No. 1401

Poker Math That Matters - Simplifying the Secrets of No-limit Hold'em (Repost)  eBooks & eLearning

Posted by roxul at Oct. 24, 2012
Poker Math That Matters - Simplifying the Secrets of No-limit Hold'em (Repost)

Owen Gaines, "Poker Math That Matters - Simplifying the Secrets of No-limit Hold'em"
English | ISBN: 061539745X | 2010 | 220 pages | PDF | 3 MB
Poor Robin's Prophesies: A curious Almanac, and the everyday mathematics of Georgian England

Poor Robin's Prophesies: A curious Almanac, and the everyday mathematics of Georgian England by Benjamin Wardhaugh
English | 2012 | ISBN: 0199605424 | 256 pages | PDF | 2,6 MB

Discrete Mathematics of Neural Networks [Repost]  eBooks & eLearning

Posted by tanas.olesya at April 20, 2017
Discrete Mathematics of Neural Networks [Repost]

Discrete Mathematics of Neural Networks by Martin Anthony
English | 2001 | ISBN: 089871480X | 143 Pages | PDF | 5 MB

This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial neural networks.