![]() ![]() And in fact, one of the games that can teach some fundamentals of how to use and analyze data is the same one that ultimately produces the stiffest challenge for AI: poker. While examples like these represent the primary connections between gaming and data science though, there have also been some instances over the years of aspiring data scientists learning through games. ![]() And a couple years ago, a new AI even managed to win six-player poker games - which is viewed as a more difficult challenge than conquering chess. Case in point, some of the resources for learning math for data science that have been discussed here in the past mention that some of the most impressive examples of AI we’ve seen to date concern machines that can defeat skilled humans at chess and other games. Connections made between data science and gaming tend to have to do with AI, and how it is tested and developed through certain games.
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