Meet Alex and Bobbie, who both like to play poker. Alex is a professional poker player who plays for a living and is a solid long-term winner. Bobbie is a recreational player who plays a decent enough game but mainly wants to have a good time. If you play poker regularly you will meet thousands of players like Bobbie in your games and very few like Alex.
Of course one would expect that, in the long run, Alex will perform better than Bobbie. But have you ever wondered EXACTLY what it is that Alex understands better and does differently to Bobbie?
This is a rather complex question that does not have a simple answer. In this book, UCLA maths professor Duncan Palamourdas addresses this question via a journey through human psychology, game theory, easy-to-understand mathematics and even philosophy. Topics include:
Understanding the instinctive but unprofitable tendencies of inexperienced players.
How to identify what a mistake actually is in poker - and how to exploit it.
Why poker does not revolve around bluffing.
The great impact of variance in poker and how to account for it.
How to develop a consistent approach that allows you to play like Alex and not Bobbie.
Duncan Palamourdas specializes in the mathematics of poker and poker education. His poker classes at UCLA always fill up early and have long waiting lists. He is also an author at Upswing Poker, Poker News, Card Player and Winning Network. Despite his impressive academic credentials, Duncan's popularity is a product of his love for simple language and metaphors. Profitable poker play essentially revolves around correct risk-reward optimization. This is a complex topic and Duncan's great strength is that he explains it in simple terms without resorting to technical jargon.
Sprache
Verlagsort
Verlagsgruppe
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 17 mm
Gewicht
ISBN-13
978-1-912862-21-4 (9781912862214)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Konstantinos Palamourdas, otherwise known as Duncan, is a UCLA instructor, author, columnist and researcher who gained international acclaim through his innovative contributions on the mathematics of poker and education. He is one of the first academics to successfully bring such a unique subject into academia.
Duncan holds two master's degrees (one in pure math and one in Computer Science) and a PhD in Mathematical Logic. His versatile mathematical background and love for teaching has helped him offer classes on a variety of math-based subjects over the years. These range from the basics (Calculus, Algebra, Statistics) all the way to Machine Learning, Measure Theory, Differential Equations and, of course, Advanced Poker Game Theory.
His signature style of communicating otherwise complicated concepts using relevant metaphors and accessible visuals has made him increasingly popular with his students who typically form large waiting lists for his classes. Duncan has also been awarded the Robert Sorgenfrey Distinguished Teaching Award in recognition for his teaching contributions.
