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Expert Heads Up No Limit Hold ‘em is a unique and remarkable book, providing a clear framework with which to analyse the game. In a study completed December 2016 and involving 44,000 hands of poker, DeepStack defeated 11 professional poker players with only one outside the margin of statistical significance. 4. 8 x 0. D. Clustering has multiple applications in areas such as machine learning, data mining, imagine analysis and others [8]. 1 Related work on no-limit Texas Hold’em programs As mentioned above, most AI work on Texas Hold’em poker has been for the limit variety. anlh. They emphases repeatedly that the score isn’t to construct perfectly balanced ranges – that’s generally beyond humanitarian capabilities and in. The theory in this book is not designed to be complex or abstract, but rather it s intended to be applied immediately producing better overall results. 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