DeepStack In a study completed December 2016 and involving 44,000 hands of poker, ... AI research has a long history of using parlour games to study these models, but ... Why You'll Never Make A Living Playing Live Poker Tournaments Feb 19, 2014 ... Another source of raw info on player performance is the chart of people ... payouts (only nine of the players in the dataset entered the Big One). Detecting an online poker cheat - Stack Overflow
2010 Federal STEM Education Inventory Data Set 158 recent views Office of Science and Technology Policy, Executive Office of the President — This data set provides information for STEM education (pre-kindergarten through graduate) investments funded by Federal agencies at the level of $300,000 or above.
Data Science project: poker data set | General Poker Feb 09, 2010 · Terminatorchief: Hello. I am currently doing a certificate in Data Science and Big Data. This is a 9 month course with the end-goal of writing a 30 page report based on a data analysis. We were asked to bring our own data if possible. During the course we have gone through various classification and regression models. My idea is as follows: I would like to create and train a model to The dark side of online poker or the commoditization and Big data weaponization and malware-based espionage are usually associated with governments; however, they don’t own a monopoly on such activities. Also, online poker uses big data to profile user behavior. Players search for fish (bad players) and they use malware to spy on and rip off infected players at the (online) poker table. This blog post is a brief tour of some of the darkest aspects
An Introduction to Datamining - Collecting Poker Hand …
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This data is extracted from Poker Room's EV Page. T9.71 times the big blind.6 Group This is another way to describe your hole cards' strength.double click on a player's name.HoldemIndicator.less than 1. you can set up the criteria to display the preferred data. click the profiling icon.
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Paddy Power Suffers "Historical Data Breach" - PocketFives
UCI Machine Learning Repository: Dow Jones Index Data Set Data Set Information: In predicting stock prices you collect data over some period of time - day, week, month, etc. But you cannot take advantage of data from a time period until the next increment of the time period. For example, assume you collect data daily. When Monday is over you have all of the data for that day.
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