Big data and poker-playing bots are blurring the line between man and machine
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Big data and poker-playing bots are blurring the line between man and machine
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Re: Big data and poker-playing bots are blurring the line between man and machine
#2Re: Big data and poker-playing bots are blurring the line between man and machine
#3Are there any public datasets of poker games ?
Re: Big data and poker-playing bots are blurring the line between man and machine
#4Are there any public datasets of poker games ?
Re: Big data and poker-playing bots are blurring the line between man and machine
#5Re: Big data and poker-playing bots are blurring the line between man and machine
#6Are there any public datasets of poker games ?
Re: Big data and poker-playing bots are blurring the line between man and machine
#7Re: Big data and poker-playing bots are blurring the line between man and machine
#8Re: Big data and poker-playing bots are blurring the line between man and machine
#9i worked in anti-fraud for a large online gaming house for about six years from 2003 to 2009 so my information is not current. At that time, there were no bots (whether in the wild or in academic, eg, University of Alberta) that could competitively play no-limit, likewise for tournaments (which account for a large portion of the total hands played in online poker Sites). Anyone know if this has changed?
Re: Big data and poker-playing bots are blurring the line between man and machine
#10Well, Cardano was a bit than a physcian who happened to be a gambler ("Often considered to be the greatest mathematician of the Renaissance, Cardano was one of the key figures in the foundation of probability and the earliest introducer of the binomial coefficients and the binomial theorem in the western world. He wrote more than 200 works on science."). [1]
It is still interesting that probability is newer than other branches of math. But it still dates back to the 15th century. It's more interesting that statistics is far newer, becoming codified in the early 20th century.
It's worth noting that most of mathematics was put on rigorous basis between the late 19th century (Cantor and Hilbert) and the early 20th century (Goedel, etc) but probability had to wait for Kolmogorov and friends a few years later.
And statistics as it exists now is not considered a branch of mathematics but its own science. Whether statistics has a rigorous basis or is inherently a series of "rules of thumb" is an open debate (often between Bayesians and Frequentests, for example).