Calculated Bets

Review Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win


Calculated Bets


Expository in tone, Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win thoroughly explains the functionality of a gambling system. With the author’s deep inclination and interest in predictions, he shares knowledge on how to utilize virtual simulations and modeling strategies to predict jai-alai matches accurately. As he previously boosted his initial stake up to 500% mark, he became an authority in the field of prediction. More so, his insights on betting are highly regarded mainly from the clear demonstration of his strategy that functions close to a stock trading system. 

This book meticulously discusses the relation between gambling and mathematics. Going deeper, it highlights the implications of web-based gambling and emphasizes the role of the mathematical framework as a structure that guides politics. Using a humorous and entertaining voice, the author is effective enough to carry out lessons of computer forecasting and its uses in business, governance, and sports. Looking at the technicalities that this book presents, it renders methods on how to design, create implement mathematical models. What’s interesting is the flexibility of methodologies enough to be applied in different fields such as lottery, Russian roulette, blackjack, and the stock market. 

If one takes an interest in matters including system development, web-based gambling, mathematical functions in elections, then this book will guarantee an efficient and optimum knowledge acquisition. 

About the Author

Steven Skiena currently works as a Computer Science Professor at Stony Brook University. He was one of the founding fathers and the present Chief Science Officer of General Sentiment, an online media, news, and analytics firm. He takes an interest in different fields, including algorithm development, data science, and its practices to biology. He published great books about algorithms, programming, and applied and data science. 

Table of Contents



Chapter 1- The Making of a Gambler

Chapter 2- What Is Jai Alai?

Chapter 3- Monte Carlo on the Tundra

Chapter 4- The Impact of the Internet

Chapter 5- Is This Bum Any Good?

Chapter 6- Modeling the Payoffs

Chapter 7- Engineering the System

Chapter 8- Putting My Money Where My Mouth Is

Chapter 9- How Should You Bet?

Chapter 10- Projects to Ponder


For Further Reading


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