Fr. 19.50

The Perfect Bet - Taking the Luck out of Gambling

English · Paperback

Shipping usually within 1 to 3 working days

Description

Read more

Gamblers have been trying to figure out how to game the system since our ancestors first made wagers over dice fashioned from knucklebones: in revolutionary Paris, the 'martingale' strategy was rumoured to lead to foolproof success at roulette ; today, professional gamblers are using cutting-edge techniques to tilt the odds in their favour. Science is giving us the competitive edge over opponents, casinos and bookmakers. But is there such a thing as a perfect bet? The Perfect Bet looks beyond probability and statistics to examine how wagers have inspired a plethora of new disciplines - spanning chaos theory, machine learning and game theory - which are not just revolutionising gambling, but changing our fundamental notions about chance, randomness and luck. Explaining why poker is gaming's last bastion of human superiority over AI, how methods originally developed for the US nuclear programme are helping pundits predict sports results and why a new breed of algorithms are losing banks millions, The Perfect Bet has the inside track on any wager you'd care to place.

Product details

Authors Adam Kucharski, Kucharski Adam
Publisher Profile Books
 
Languages English
Product format Paperback
Released 30.03.2017
 
EAN 9781781255476
ISBN 978-1-78125-547-6
No. of pages 288
Dimensions 128 mm x 196 mm x 16 mm
Subjects Guides > Hobby, home > Games, quizzes
Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics
Non-fiction book > Nature, technology > Natural science

popular science, Gambling: theories & methods, Gambling: theories and methods

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.