#11 （1/2）麻雀で最強になるための、統計モデリングを考える

from Data Science LG: 学び合う統計とデータサイエンス · host Sho Sakai / Nospare Student Community

【メッセージ募集】番組への質問やトークテーマのご提案、感想、ゲスト出演希望など、各種ご連絡は以下のフォームやXからお送り下さい。⁠⁠https://forms.gle/xmNbRKFQJQxZoRKJ6⁠⁠X：⁠⁠#DataScienceLG⁠⁠【今回の内容】プロリーグの人気も上昇し多くの方が麻雀をやるようになっており、その中で統計を使うプレイヤーも増えている。また統計を取り扱った麻雀本も増えている。そこで、今回は統計を専門に学ぶ三人の学生が統計分析を麻雀で使用して、最強の麻雀プレイヤーになる方法を検討する。【出演者】◯段暁然 (Shozen Dan)X：⁠https://x.com/ShozenD⁠2022年に株式会社Nospareに参画EPSRC CDT in Statistics and Machine Learning at Imperial College London and the University of Oxford (博士課程)◯酒井彰 (Sho Sakai)X：https://x.com/simplesho_CLTHP：⁠https://shosakai.notion.site⁠Nospare Student Community 運営筑波大学大学院修士課程◯北野優斗 (Yuto Kitano)X：⁠https://x.com/yukkun000⁠Nospare Student Community 運営大阪大学学士課程Nospare Student Community について⁠https://secret-mat-72c.notion.site/Nospare-Student-Community-Division-Activities-List-188a9bc7146f80f19daec821b55178ad?pvs=4⁠Nospare Student Community 参加応募フォームhttps://t.co/nv3pZHXCiv

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This episode was published on February 14, 2025.

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