In the card game of poker, a bluff is a bet or raise made with a hand which is not thought to be the best hand. To bluff is to make such a bet. The objective of a bluff is to induce a fold by at least one opponent who holds a better hand. The size and frequency of a bluff determines its profitability to the bluffer. By extension, the phrase "calling somebody's bluff" is often used outside the context of poker to describe situations where one person demands that another proves a claim, or proves that they are not being deceptive. (Wikipedia).
Playing card dice, by the Dice Lab. http://mathartfun.com/thedicelab.com/RollACard.html
From playlist Dice
Monte Carlo Simulation and Python
Monte Carlo Simulation with Python Playlist: http://www.youtube.com/watch?v=9M_KPXwnrlE&feature=share&list=PLQVvvaa0QuDdhOnp-FnVStDsALpYk2hk0 Here we bring at least the initial batch of tutorials to a close with the 3D plotting of our variables in search for preferable settings to use.
From playlist Monte Carlo Simulation with Python
Monte Carlo Simulation and Python 2 - Dice Function
Monte Carlo Simulation with Python Playlist: http://www.youtube.com/watch?v=9M_KPXwnrlE&feature=share&list=PLQVvvaa0QuDdhOnp-FnVStDsALpYk2hk0 In this video, we begin creating our "roll dice" function. In the monte carlo simulation with Python series, we test various betting strategies. A
From playlist Monte Carlo Simulation with Python
MIT 15.S50 Poker Theory and Analysis, IAP 2015 View the complete course: http://ocw.mit.edu/15-S50IAP15 Instructor: Matt Hawrilenko In this session, guest Matt Hawrilenko discusses game theory, value betting and bluffing, how to maximize the value of the entire set of hands, and exploitiv
From playlist MIT 15.S50 Poker Theory and Analysis, IAP 2015
2M All-In into $5 Pot! WWYD? Daniel Negreanu's No-Limit Hold'em Challenge! (Poker Hand Analysis)
#ai #technology #poker Daniel Negreanu posted a set of very interesting No-Limit Hold'em situations on Twitter. I try to analyze them from the perspective of a poker bot. See how such bots think about the game and approximate Nash equilibria. https://twitter.com/RealKidPoker/status/13378
From playlist Applications of ML
7. An In-depth Combinatorial Hand Analysis in Cash Games
MIT 15.S50 How to Win at Texas Hold 'Em, January IAP 2016 View the complete course: http://ocw.mit.edu/15-S50IAP16 Instructor: Will Ma In this session, the instructor walks the students through an in-depth analysis of various hands, and conclude with some general thoughts about the game o
From playlist MIT 15.S50 How to Win at Texas Hold 'Em, IAP 2016
Monte Carlo Simulation and Python 1 - Intro
Monte Carlo Simulation with Python Playlist: http://www.youtube.com/watch?v=9M_KPXwnrlE&feature=share&list=PLQVvvaa0QuDdhOnp-FnVStDsALpYk2hk0 In the monte carlo simulation with Python series, we test various betting strategies. A simple 50/50 strategy, a martingale strategy, and the d'ale
From playlist Monte Carlo Simulation with Python
Monte Carlo Simulation and Python 7 - More comparison
Monte Carlo Simulation with Python Playlist: http://www.youtube.com/watch?v=9M_KPXwnrlE&feature=share&list=PLQVvvaa0QuDdhOnp-FnVStDsALpYk2hk0 In the monte carlo simulation with Python series, we test various betting strategies. A simple 50/50 strategy, a martingale strategy, and the d'ale
From playlist Monte Carlo Simulation with Python
Poker Rule #1: To Win, Don't Privilege Your Gut Instincts | Poker Champ Liv Boeree | Big Think
Poker Rule #1: To Win, Don't Privilege Your Gut Instincts Watch the newest video from Big Think: https://bigth.ink/NewVideo Join Big Think Edge for exclusive videos: https://bigth.ink/Edge ---------------------------------------------------------------------------------- You really do ha
From playlist Best Videos | Big Think
Poker: The high-stakes way to unlock your potential | Maria Konnikova | Big Think Edge
Poker: The High-Stakes Way to Unlock Your Potential with Maria Konnikova Moderated by Winsome Brown ---------------------------------------------------------------------------------- When best-selling author and journalist Maria Konnikova had a streak of bad luck, she set out to write a
From playlist Big Think LIVE
Pyramid Solitaire is a simple game in which students will find pairs of cards that have a sum of 13. Fun and a good way to practice addition facts. Read more about this game: http://theothermath.com/index.php/2020/04/02/pyramid/
From playlist Games and puzzles
2. Introduction to Postflop Play
MIT 15.S50 How to Win at Texas Hold 'Em, January IAP 2016 View the complete course: http://ocw.mit.edu/15-S50IAP16 Instructor: Will Ma The details and strategies of postflop play are covered in this video. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms Mo
From playlist MIT 15.S50 How to Win at Texas Hold 'Em, IAP 2016
Monte Carlo Simulation and Python 3 - Simple Bettor Creation
Monte Carlo Simulation with Python Playlist: http://www.youtube.com/watch?v=9M_KPXwnrlE&feature=share&list=PLQVvvaa0QuDdhOnp-FnVStDsALpYk2hk0 In this video, we create a simple 50/50 bettor who just bets a flat amount each time. This bettor will serve as a sort of "control" variable as we
From playlist Monte Carlo Simulation with Python
From playlist Mathematics of Gambling
SDS 569: A.I. For Crushing Humans at Poker and Board Games — with Noam Brown
#BoardGameAI #PokerAI #MetaAIResearch Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs. In this episode you will learn: • What Meta A.I. is
From playlist Super Data Science Podcast
MIT 15.S50 How to Win at Texas Hold 'Em, January IAP 2016 View the complete course: http://ocw.mit.edu/15-S50IAP16 Instructor: Will Ma In this session, Will Ma plays through the hands of an online tournament and touches on some key concepts. License: Creative Commons BY-NC-SA More inform
From playlist MIT 15.S50 How to Win at Texas Hold 'Em, IAP 2016
Monte Carlo Simulation and Python 12 - Checking Results
Monte Carlo Simulation with Python Playlist: http://www.youtube.com/watch?v=9M_KPXwnrlE&feature=share&list=PLQVvvaa0QuDdhOnp-FnVStDsALpYk2hk0 In the monte carlo simulation with Python series, we test various betting strategies. A simple 50/50 strategy, a martingale strategy, and the d'ale
From playlist Monte Carlo Simulation with Python
RubyConf 2017: How to Build a World-Class Rock Paper Scissors Bot by Dorothy Jane Wingrove
How to Build a World-Class Rock Paper Scissors Bot by Dorothy Jane Wingrove This talk will teach you how to play rock-paper-scissors (no really, it’s more complicated than you might think) plus a little bit about AI history. It will also make you laugh — at least a little. You'll also lea
From playlist RubyConf 2017
Lec 32 | MIT 18.085 Computational Science and Engineering I
Nonlinear optimization: algorithms and theory A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
The Mathematics of Roulette I Understanding Casino Games
For thousands of years, games and puzzles have been an enjoyable and rewarding aspect of human civilization. They tease our brains. They challenge our memories. They strengthen our competitive skills. And whether it's chess, poker, or Sudoku, most games have this in common: Everything you
From playlist Math and Statistics