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4 Answers. Not sure if it covers the games you're looking for but it's a useful resource to mention anyway. University of Alberta Computer Poker Research Group Database has something like 10 Million hands for free to download. Check it out. As a side note, their papers about Poker AI and decision making are always very insightful.
2. Data Collection Methods When approaching the problem of accumulating hand data, there are three different approaches that lend themselves: 1. Sniffing packet traffic between the poker client and server. 2. Taking advantage of provided hand history facilities. 3. Scraping the screen to obtain game information. Paddy Power Suffers "Historical Data Breach" - PocketFives On Thursday, Paddy Power issued a press releasewarning users of a “historical data breach” that occurred back in 2010. Four years later, Paddy Power is learning the “full extent” of the issue, which affected nearly 650,000 customers. — PocketFives’ news coverage is brought to you by Betsson Poker, a leading global online gaming provider. 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 ... Using Historical Football Data to Your Sports Betting ... Here are a few general rules followed by a more in depth look at using historical football data. How Old is the Data? The older the data is, the less likely it will help you. With the turnover of players in the current NFL and NCAA cultures, data from four years or older rarely will have any significance to the current season.
Hendon Mob Poker Database
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 ... Internet Poker: Data Collection and Analysis 2. Data Collection Methods When approaching the problem of accumulating hand data, there are three different approaches that lend themselves: 1. Sniffing packet traffic between the poker client and server. 2. Taking advantage of provided hand history facilities. 3. Scraping the screen to obtain game information. Paddy Power Suffers "Historical Data Breach" - PocketFives On Thursday, Paddy Power issued a press releasewarning users of a “historical data breach” that occurred back in 2010. Four years later, Paddy Power is learning the “full extent” of the issue, which affected nearly 650,000 customers. — PocketFives’ news coverage is brought to you by Betsson Poker, a leading global online gaming provider. 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 ...
Hendon Mob Poker Database
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r-directory > Reference Links > Free Data Sets Free Datasets. If you work with statistical programming long enough, you're going ta want to find more data to work with, either to practice on or to augment your own research. Here are a handful of sources for data to work with. All of the datasets listed here are free for download. Statistical Analysis of Texas Holdem Poker - Cal Poly Use statistical analysis to determine maximum profit potential for Mike Linn’s online poker games. Abstract Gathered lifetime online Poker data for Mike Linn. Attempted to analyze data to obtain information to maximize profit. Techniques included Univariate Analysis, Regression analysis, Anova analysis, Logistic Regression, and outlier Analysis. Open Data Sets by topic - Milne Library Data Collections ... Company level data on the supply and disposition of natural gas in the United States, Electric power data collected by surveys, international energy statistics, energy country profiles for 217 countries, state and territory energy profiles for the U.S., financial data collected from major energy producers, short-term and historical energy outlook data & projections, and real energy prices. The dark side of online poker or the commoditization and ...
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